Our mission is to accelerate the world’s transition to sustainable energy. With global temperatures rising, the faster we free ourselves from fossil fuel reliance and achieve a zero-emission future, the better. 
 
In pursuit of this mission, we make electric vehicles that are not just great EVs, but the best cars, period. We also produce and install infinitely scalable clean energy generation and storage products that help our customers further decrease their environmental impact. When it comes to achieving our goals, we pride ourselves in accomplishing what others deem impossible.
 
We are opening new factories and increasing our output everyday – join us in building a sustainable future.

Industry: Motor Vehicle Manufacturing
Company Size: 10,001+ employees

Tesla

Savvy Admin PROD

**What To Expect**

This team supports over a hundred stakeholders across a dozen hardware testing teams at Tesla by developing and continuously improving software related to hardware reliability test automation. This includes everything from writing code to interface with physical equipment/vehicle components, to creating an intuitive application layer for test engineers/technicians to deploying full-stack APIs, databases, and frontends. This Engineer has a lot of agency in deciding the roadmap to improving the reliability testing ecosystem, and as such must have solid software development fundamentals.

**What You'll Do**

- Use Python to improve a modular, highly extensible hardware testing framework

- Build robust interfaces for test equipment that communicate over CAN, Serial, TCP/IP, and other protocols

- Build and deploy APIs that improve the capabilities of the system and the quality of life of test engineers

- Design and manage databases and data tools for the storage, retrieval and visualization of test data

- Create user interfaces for writing, executing, and monitoring hardware tests

- Train engineers, technicians, and interns to use new tools and drive their adoption

- Elevate the entire testing organization by encouraging best software practices

**What You'll Bring**

- Degree in Computer Engineering or equivalent experience

- Strong software engineering fundamentals: capable of writing correct, performant, and secure software

- Strong Python proficiency

- Experience deploying highly-available applications to production

- Familiarity with software development tools like Git, CI/CD, Docker

- Experience designing and implementing complex systems

- Experience creating React/NextJS frontends is a plus

- Strong communication skills and collaborative spirit

**Benefits**

**Compensation and Benefits**

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

-  Medical plans > plan options with $0 payroll deduction

-  Family-building, fertility, adoption and surrogacy benefits

-  Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution

-  Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA

-  Healthcare and Dependent Care Flexible Spending Accounts (FSA)

-  401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits

-  Company paid Basic Life, AD&D

-  Short-term and long-term disability insurance (90 day waiting period)

-  Employee Assistance Program

-  Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays

-  Back-up childcare and parenting support resources

-  Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance

-  Weight Loss and Tobacco Cessation Programs

-  Tesla Babies program

-  Commuter benefits

-  Employee discounts and perks program

Expected Compensation

$120,000 - $252,000/annual salary + cash and stock awards + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

, Tesla

Software Engineer, Hardware Test Automation

**What To Expect**

Tesla is at the forefront of developing humanoid robots, known as Optimus, on a large scale to revolutionize automation in manufacturing and material handling. We leverage advanced AI for highly adaptable and autonomous operation.

As part of our Optimus Hardware Validation team, we're seeking an exceptional System Engineer to design and implement comprehensive tests at sub-system and system levels for hand validation. You'll develop innovative methodologies to ensure the reliability, performance, and safety of our cutting-edge robotic hand. This highly cross-functional role involves collaborating with design engineers, software developers, and controls experts to create efficient testing that delivers optimal results in minimal time.

You will take direction from a senior engineer, while assuming full responsibility over the tests you design and run, providing summaries directly to teams. The ideal candidate possesses a strong background in mechanical engineering with proven experience coding for physical systems and experience in designing, testing, debugging, and/or system integration. If you are passionate about robotics and possess the drive to tackle these technical challenges head-on, we invite you to be part of our team.

**What You'll Do**

- Design, develop, and execute tests for hands in system and sub-system level

- Analyze test data, perform root cause analysis for system-level failures, identify trends, and collaborate cross-functionally to drive resolutions and recommend design improvements

- Design and develop test fixturing, automation scripts to satisfy test plan requirements

- Document test procedures, results, and analysis clearly and concisely

- Assist with test planning and DFMEA activities for hand sub-systems

**What You'll Bring**

- Bachelor's Degree in Mechatronics or Mechanical Engineering, or equivalent experience

- Experience in designing, testing or debugging electromechanical systems or robotic systems, preferably within an industrial environment

- Understanding of engineering fundamental principles such as statics, thermodynamics, materials science, and circuits

- Strong modeling skill in CAD, preferably CATIA (3DExperience) with basic knowledge of GD&T

- Expertise in electrical sensors, actuators, test automation, motor controller operation, interfaces, and data acquisition systems are highly desirable

- Strong programming skills in Python (or strong programming skill in another language with familiarity with Python)

- Familiarity with concepts of robotic systems encompassing hardware and firmware components as well as communication protocols (preferably EtherCAT or CAN)

- Experience using data analysis tools and techniques to interpret results; proficiency in MATLAB, Python, JMP, or Minitab is preferred

- Ability to work effectively and autonomously in a fast-paced, dynamic environment while maintaining clear documentation of your work

**Benefits**

**Compensation and Benefits**

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

-  Medical plans > plan options with $0 payroll deduction

-  Family-building, fertility, adoption and surrogacy benefits

-  Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution

-  Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA

-  Healthcare and Dependent Care Flexible Spending Accounts (FSA)

-  401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits

-  Company paid Basic Life, AD&D

-  Short-term and long-term disability insurance (90 day waiting period)

-  Employee Assistance Program

-  Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays

-  Back-up childcare and parenting support resources

-  Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance

-  Weight Loss and Tobacco Cessation Programs

-  Tesla Babies program

-  Commuter benefits

-  Employee discounts and perks program

Expected Compensation

$91,600 - $316,800/annual salary + cash and stock awards + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

, Tesla

System Validation Engineer, Optimus Hand

O Nu nasceu em 2013 com a missão de lutar contra a complexidade para empoderar pessoas diariamente, reinventando os serviços financeiros.

Somos uma das maiores plataformas financeiras no mundo, servindo mais de 100 milhões de clientes no Brasil, México e Colômbia. 

Em nossa posição de liderança, usamos tecnologia proprietária e práticas inovadoras para criar novas soluções e experiências financeiras para indivíduos e PMEs. Tudo que entregamos é simples, intuitivo, conveniente, de baixo custo, empoderador e humano. 

Guiando-nos sempre por nossa missão, estamos contribuindo para aumentar o acesso financeiro na América Latina.

Industry: Atividades de serviços financeiros
Company Size: 5.001-10.000 funcionários

Nubank

**About Us**

Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page Careers at Nu - Join our team!

**About The Role**

As a **Staff Software Engineer (Data) **, you will be the technical cornerstone of our data ecosystem. At Nu, we don't just "move data" we build the foundational platforms that empower analysts, ML engineers, and product leaders to make the decisions that drive financial inclusion for millions.

You will own the data infrastructure for your domain, tackling highly complex and ambiguous challenges that span multiple departments. You aren't just a builder; you are a strategist who identifies data gaps before they become bottlenecks and treats data quality as a mission critical product. You will set the technical bar for the entire function, ensuring that downstream trust remains unbreakable as we scale.

**Responsibilities**

- Architect Data Excellence: Design and evolve high scale data platforms, storage solutions, and transformation patterns that serve as the "gold standard" for the organization.

- Drive Technical Strategy: Define the long term roadmap for data infrastructure, balancing immediate business needs with a 6–12 month strategic horizon.

- Champion Data Contracts: Lead the implementation of robust data contracts and schema evolution practices to ensure reliability across global product teams.

- Solve Complex Ambiguity: Troubleshoot and resolve the most challenging technical bottlenecks in our data pipelines, improving system observability and performance at scale.

- Empower the Function: Act as a key technical advisor for senior leadership, helping to shape strategic investments in our data stack.

- Mentor and Scale: Raise the technical bar by mentoring senior engineers, leading cross functional task forces, and fostering a culture of engineering excellence and data driven decision making.

- Operational Leadership: Pioneer architectural patterns that become reference implementations for the entire company.

**Qualifications**

**Required:**

- Extensive Technical Leadership: Proven experience leading large scale data engineering initiatives in global, high-growth technology environments.

- Expertise in Distributed Systems: Deep mastery of data processing frameworks (such as Spark, Flink, or Kafka) and modern cloud data warehousing.

- Systems Design Mastery: Ability to independently design and refine solutions for complex data problems, considering long-term scalability and user experience.

- Strategic Acumen: Demonstrated ability to link technical decisions to business drivers like operational efficiency and customer acquisition costs.

- Proactive Problem Solving: A track record of identifying architectural gaps and implementing fixes independently with high autonomy.

**Nice To Have**

- Experience with ML Ops and supporting Machine Learning workflows at scale.

- Experience in the financial services or FinTech sector.

**Why Nubank?**

- Purpose-driven work that impacts millions of people.

- Collaborative and inclusive remote culture.

- Competitive compensation and benefits package.

- Learning and development support to grow your career.

- Opportunity to help shape the future of financial services.

**Our Benefits**

- Total compensation includes base salary, RSUs and benefits. Base salary: $270,000

- Top Tier Medical Insurance

- Top Tier Dental and Vision Insurance

- 401(k) matching

- 20 days time off, 14 company holidays, and great culture that emphasizes work life balance.

- Life Insurance and AD&D

- Nucleo - Our learning platform of courses

- NuLanguage - Our language learning program

- NuCare - Our mental health and wellness assistance program

- Extended maternity and paternity leaves

- Saving Plans - Health Saving Account and Flexible Spending Account

- Twice a week in the office (Palo Alto) + quarterly trips to Sao Paulo (Brazil) to build relationships with coworkers.

Staff Software Engineer, Data

**What To Expect**

The Tesla Robotics Team designs and builds humanoid bi-pedal robots (Optimus) to perform tasks that are boring, repetitive, and dangerous for humans. The team joins mechanical, electrical, controls, software, and manufacturing engineering disciplines in a highly collaborative team. We are seeking talented Mechanical Design Engineers to play a role in building this ambitious vision into reality. There will be an emphasis on creative problem-solving abilities and technical rigor for this role.

**What You'll Do**

- Design mechanical components and assemblies with a heavy emphasis on achieving acute precision through high-volume production methods

- Determine component-level mechanical requirements (e.g. stiffness, strength) from functional product specs

- Apply analytical methods including calculations and simulations for the design and optimization of structures and mechanical components

- Perform tolerance analysis (including process variability, environmental and material aging) to determine system impacts of assembly fits and backlash

- Perform material and process selection for high-volume production determined by considerations of mechanical properties, dimensional capability, cosmetics, cost and supply-chain stability, etc.

- Work directly with injection molding suppliers and tool designers to adapt part designs for manufacturability based on material and process constraints

- Actively drive every phase of product launch including part design, tool design/Moldflow, tool trial and validation, process certification and quality approvals (including cosmetic and dimensional specifications)

- Conduct should-cost analysis to determine the fair price of goods from fundamental raw materials through value-adding processing steps including labor and logistics

- Manage suppliers to execute projects according to precise design specifications and ambitious timeline commitments

**What You'll Bring**

- Degree in Mechanical Engineering or equivalent, or equivalent industry experience

- Experience shipping consumer-grade products at rates in the millions of units per year (injection molding preferred)

- Deep knowledge of material science and high-volume manufacturing processes (injection molding, casting preferred)

- Proficiency in designing parts and assemblies using 3D modeling software (CATIA preferred)

- Proficiency in drafting engineering drawings and conducting tolerance stack-up analysis (GD&T required)

- Experience in stretchable materials, stretchable & soft materials and fabrics also preferred

**Benefits**

**Compensation and Benefits**

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

-  Medical plans > plan options with $0 payroll deduction

-  Family-building, fertility, adoption and surrogacy benefits

-  Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution

-  Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA

-  Healthcare and Dependent Care Flexible Spending Accounts (FSA)

-  401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits

-  Company paid Basic Life, AD&D

-  Short-term and long-term disability insurance (90 day waiting period)

-  Employee Assistance Program

-  Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays

-  Back-up childcare and parenting support resources

-  Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance

-  Weight Loss and Tobacco Cessation Programs

-  Tesla Babies program

-  Commuter benefits

-  Employee discounts and perks program

Expected Compensation

$108,000 - $264,000/annual salary + cash and stock awards + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

, Tesla

Robotics Mechanical Design Engineer, Soft Goods

We are building the engine that will power discoveries, drive progress, and redefine what computers—and human beings—are capable of.

Industry: Computer Hardware Manufacturing
Company Size: 201-500 employees

Lightmatter

Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.

Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!

If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.

Lightmatter is (re)inventing the future of computing with light!

**Staff Electrical Design Engineer**

**About This Role**

We are looking for a Senior Electrical Design Engineer to contribute to the development of the next generation of silicon photonics based artificial intelligence accelerators and interconnect products.

In this role, you will lead board and system solutions that leverage Lightmatter’s technology to enable advanced machine learning, artificial intelligence, and large-scale interconnect platforms.

You will lead and own HW systems efforts, collaborate closely with teams across hardware and software, including mechanical, packaging, and IC engineering, to design, integrate, troubleshoot and release system-level products at the leading edge of innovation.

**Responsibilities**

- Collaborate with the system architect and technical leads to define system-level hardware requirements and spec

- Electrical design of power, memory, and interconnect circuits, working in both the analog and digital domains

- Identify electrical and optical components to fit the application based on specifications provided by the IC and photonics engineering teams

- Starting from fundamental concepts and system considerations you will develop conceptual designs, physical modeling, and simulations of chip-modules and systems

- Oversee and review PCB layout designs, providing complete and detailed electrical constraint rules

- Ensure the board and system is manufacturable to the latest technologies with high yield and robustness

- Qualification of chip and system electrical properties

- Perform laboratory validation of boards and systems

- Lead integration with mechanical, software, IC, and other related teams

- Support contract manufacturing during prototype and production phase to resolve any issues

- Work with component vendors and other supply partners

- Research new components, processes, and technologies to meet product goals

**Qualifications**

- Bachelor’s Degree in Electrical Engineering

- 8+ years of related experience in system-level electrical design, having successfully taken several products from concept to production.

- Proficient in schematic design using Cadence, Mentor, or Altium tool set (Altium preferred)

- In depth knowledge on VRMs, high speed SERDES, CPUs and various interfaces/protocols such as PCIe, Ethernet, QSPI, I3C, I2C, etc

- 5+ years of experience in lab experimentation, non-intrusive circuit debugging, and leading cross-functional integration teams

- Experience in working with thermal solutions for integrated circuits and their board level systems

- Familiar with Product Lifecycle Management tools, e.g. Oracle Agile, Arena, or Omnify PLM with an understanding of BOM and ECO management

**Preferred Qualifications**

- Experience designing electrical systems for networking or similar industries

- Knowledge of integrated circuit layout, and designing a carrier PCBA for it

- Knowledge of common manufacturing and design processes

- Familiarity with Systems Engineering principles

- Familiar with 3D Mechanical CAD tools, e.g. Solidworks or AutoCAD

This role is open to two levels Staff and Sr Staff. Leveling placement and salary range is dependent on education, years of experience, and interview performance.

We offer competitive compensation. The base salary range for this role determined based on location, experience, educational background, and market data.

Salary Range: total compensation goes beyond base salary, it also includes a new hire equity grant, annual performance-based equity, and other rewards that recognize your impact and contribution.: $186,000 USD - $250,000 USD

**Benefits**

- Comprehensive Health Care Plan (Medical, Dental & Vision)

- Retirement Savings Matching Program

- Life Insurance (Basic, Voluntary & AD&D)

- Generous Time Off (Vacation, Sick & Public Holidays)

- Paid Family Leave

- Short Term & Long Term Disability

- Training & Development

- Commuter Benefits

- Flexible, hybrid workplace model

- Equity grants (applicable to full-time employees)

Benefits eligibility may vary depending on your employment status and location. Lightmatter recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law.

**Export Control**

Candidates should have capacity to comply with the federally mandated requirements of U.S. export control laws.

Staff Electrical Design Engineer

**What To Expect**

This position is a key technical member of a cross functional team that focuses on evaluating, defining, and executing battery energy storage opportunities with cutting edge technologies. You will be responsible for the execution of projects from the design phase through to commissioning, while managing all engineering activities to ensure successful projects. The Tesla Energy team is committed, and fast-moving. We are a group of applications engineers, power systems engineers, and project engineers that sit at the center of business development, Tesla technology, and the deployment of stationary storage projects on the grid. As a member of our team, you will help shape the success of our projects in various applications worldwide. You must have a genuine passion for engineering products that will fundamentally change the world’s energy infrastructure and want to work in a fast-paced, entrepreneurial environment. This role can be located in Palo Alto, CA or Austin, TX.

**What You'll Do**

- Application of Electrical/Power Systems knowledge to identify & drive solutions for large scale utility projects. MV Transformers, Switchgear and protection solutions are required

- Review single line drawings, communication wiring diagrams, and BESS system layouts

- Identify gaps in scope and responsibility to ensure project success. This requires a comprehensive understanding of engineering, construction, and permitting concepts and rules of conduct

- Able to identify key stakeholders and drive innovative solutions with cross functional teams

- Responsible for project ownership and execution, which requires understanding/managing the scope, stakeholders and schedule and keeping all parties in sync

- Interface with internal customers (project managers, product engineers, sales team) and external customers (utilities, AHJs, contractors, end customers) to ensure consistent communication

- This is a diverse role where knowledge of basic design rules, constructability, permitting, utility requirements, and engineering fundamentals is expected. Expectations include a rock-solid work ethic and a strong team-oriented personality. Members of our team display creativity, passion, and a desire to break new ground in a constantly shifting technology landscape

**What You'll Bring**

- Degree in an Engineering field or equivalent in experience

- 3-5 years of relevant experience as an Electrical/Project Engineer

- Experience in Renewables, PV, Battery storage, EPC, Generation system design, or microgrids required

- Experience in MV Electrical Installations, Ampacity Calculations, Short circuit/load flow, Protective Device Coordination, Arc Flash, Grounding and other relevant design topics

- Experience in the specification, technical bid analyses, and procurement and commissioning aspects of major electrical equipment (switchgear, transformers, etc.)

- Experience in development of the electrical construction drawing set

- Experience in construction administration support (RFIs, Design Change Notices, as built)

- Experience in relevant standards and electrical studies for utility applications

- Experience in Controls, Networking, SCADA & CAD skills

- Excellent communication and documentation skills

**Benefits**

**Compensation and Benefits**

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

-  Medical plans > plan options with $0 payroll deduction

-  Family-building, fertility, adoption and surrogacy benefits

-  Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution

-  Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA

-  Healthcare and Dependent Care Flexible Spending Accounts (FSA)

-  401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits

-  Company paid Basic Life, AD&D

-  Short-term and long-term disability insurance (90 day waiting period)

-  Employee Assistance Program

-  Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays

-  Back-up childcare and parenting support resources

-  Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance

-  Weight Loss and Tobacco Cessation Programs

-  Tesla Babies program

-  Commuter benefits

-  Employee discounts and perks program

Expected Compensation

$96,000 - $162,000/annual salary + cash and stock awards + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

, Tesla

Project Engineer, Battery Energy Storage

Using whole genome sequencing and state-of-the-art bioinformatics, MyOme analyzes a single patient sample to produce comprehensive and clinically actionable reports that allow patients and their providers to make personalized lifestyle, prevention, and treatment choices.

Industry: Biotechnology Research
Company Size: 11-50 employees

MyOme

MyOme’s mission is to provide clinically actionable genetic information to patients throughout their lives. We combine clinical-grade whole genome sequencing, advanced AI methods for genome interpretation, and seamless digital tools for doctors and patients to order and access results. Our team is composed of seasoned entrepreneurs, scientists, and operators, and we're backed by top-tier investors.

**Position Overview:**

MyOme is an early stage startup with seasoned entrepreneurs looking for a bioinformatician to join the team and help expand the role of genetic information in personal and family health decisions. You will collaborate with the research and engineering teams to develop and implement analytic pipelines, computational analysis, and interpretation of biological data. We are looking for an experienced bioinformatician or data scientist with a strong background in human genetics. This role will report directly to a Senior Bioinformatics Scientist.

**What You'll Do:**

- Work with bioinformaticians and engineers to manage, process, analyze and interpret genomic data

- Identify and develop tools for NGS data analysis

- Develop and test algorithms for incorporation into a production pipeline

- Design and implement quality control processes

- Help design and conduct clinical validation study plans and reports

- Work with our Clinical Lab Director to make sure all algorithms comply with regulatory standards

**What You'll Ne ****ed:**

- Master’s degree (PhD preferred) in computational biology, computer science or a related field

- 3+ years experience in industry analyzing NGS data

- Coding fluency such as Python or R

- Experience with bioinformatics tools including bcftools, samtools, bedtools, etc.

- Ability to implement new tools and evaluate open source tools quickly

- Familiarity with genomic databases such as UCSC, NCBI (dbSNP, Clinvar), Ensembl

- Familiarity with public datasets such as 1000 Genomes, UKB, All of Us

- Experience with detecting and interpreting different types of genetic variants

- Experience in statistical analysis of genetic data

- Experience managing computational tasks in a cloud environment (AWS or GCP).

- Solid understanding of the Linux environment and shell scripting

- Experience working with next-generation sequencing data (exome, genome, RNASeq) and/or long-read technology (Nanopore, PacBio)

- Experience with Nextflow is a plus

- Excellent communication and presentation skills

- Experience working within a hybrid and/or remote team

**Location, Compensation, and Benefits:**

- **Location: **Hybrid role, 2 days onsite at our Menlo Park, CA campus.

- **Compensation: ** Annual salary range is $120,000 - $150,000, based on experience

San Francisco Bay Area pay range: $120,000 USD - $150,000 USD

**Benefits:**

- Comprehensive healthcare coverage (Health, Dental, and Vision)

- 401K

- Unlimited PTO

- Professional development opportunities

- Company-sponsored off-sites and team meals during in-person meetings

- Direct access to company leadership and the opportunity for career growth

**Diversity, Inclusion, and Equal Opportunity:**

MyOme values diversity in all forms. We believe that diverse perspectives drive better science and better patient outcomes. We are an Equal Opportunity Employer committed to creating an inclusive workplace that empowers every individual.

**Why Work at MyOme?**

**Join us if you:**

- Want to make an impact at the intersection of healthcare and technology, changing the way people engage with their health at the genetic level

- Enjoy rolling up your sleeves, taking initiative, and being empowered to lead

- Value humility, transparency, and collaborative problem-solving

- Thrive in fast-moving, dynamic environments with smart, driven teammates

- Appreciate competitive compensation, meaningful equity, and excellent benefits

Learn More: myome.com

Bioinformatics Scientist

The #1 Fuel App for Trucking. Get instant diesel discounts at thousands of truck stops nationwide. Get started today!

Industry: Transportation/Trucking/Railroad
Company Size: 51-200 employees

Mudflap

Mudflap serves the $800B trucking industry, the backbone of the U.S. economy. Our market-leading payment products help truckers save thousands of dollars on fuel (their #1 business expense), while providing our fuel stop partners with access to new, hard-to-reach customers. We’re a fast-growing marketplace business looking for a new customer-obsessed teammate to join us on this exciting journey.

As a **Senior Product Manager, Growth, ** you will drive growth by owning key surfaces spanning onboarding, activation, engagement, and monetization. You'll lead experimentation, shape roadmaps, and work cross-functionally with Engineering, Design, Data, Marketing, and Operations to deliver high-impact product experiences. This role combines strategic thinking with hands-on execution, grounded in direct customer insight from the owner-operators and small fleets we serve, and accelerated by a data-driven, AI-forward approach to product development.

**In this role, you will:**

- Own key growth surfaces across Mudflap’s app and card products, focusing on onboarding, activation, engagement, and monetization.

- Identify and prioritize growth opportunities through funnel analysis, customer research, and product intuition.

- Lead rapid experimentation cycles (A/B tests, feature iterations, onboarding improvements) with clear hypotheses and measurable success metrics.

- Develop and execute a roadmap of growth initiatives, balancing new bets with improvements to existing customer journeys.

- Partner closely with Engineering and Design to deliver intuitive, high-trust product experiences.

- Collaborate cross-functionally with Data, Marketing, Operations, and Customer Support to deliver cohesive end-to-end growth initiatives.

- Engage directly with truckers and fleet operators to understand workflows, constraints, and motivations that influence product adoption.

- Define, track, and communicate key growth metrics, using data and experimentation results to guide product decisions.

- Leverage AI tools and technologies to accelerate product discovery, experimentation, and development, and identify opportunities to incorporate AI into Mudflap’s product experience.

**What we look for:**

- 5+ years of product management experience with meaningful ownership of customer-facing products (mobile or web).

- Demonstrated success driving product-led growth through experimentation, iteration, and measurable improvements in key metrics.

- Strong understanding of onboarding flows, activation mechanics, and engagement loops.

- Comfortable working with data, including funnel analysis, cohort retention, and experimentation results.

- Experience partnering closely with engineering, design, data, and marketing to ship high-quality product experiences.

- Excellent prioritization, communication, and execution skills in fast-moving environments.

- Track record of translating customer insights and data into impactful product improvements.

- Hands-on experience using AI tools to accelerate product development, analysis, or experimentation, and curiosity about applying AI to create better product experiences.

- Bonus: experience building for SMBs, marketplaces, fintech, logistics, or independent operators.

**What we offer:**

- Competitive salary and equity in a high-growth startup

- Multiple health benefit options

- Responsible Time Off

- 401(k) matching

- Commuter benefits to ease your travel

- Lunches and snacks to keep you fueled

- Annual Company offsite event (Mudfest!)

**Compensation:**

The salary range for this role is $195,000 - $215,000 + equity. This information reflects a base salary range for this position based on current market data, which may be subject to change as new market data becomes available. The candidate's skills, experience, and other relevant factors will determine the exact compensation.

**Location:**

This is a hybrid role based out of our Palo Alto, CA office, with an expectation of 3 days per week onsite.

**Who we are:**

Mudflap is on a mission to transform the trucking and logistics industry by leveling the playing field for owner operators and small fleets. Backed by top-tier venture investors, including QED, Matrix Partners, Commerce Ventures, NFX, and 500 Startups and included in the Forbes Fintech 50 list, Mudflap offers fleet fuel management solutions. Our core team hails from Disney, Uber, Procore, DoorDash, Google, Meta, Capital One, Affirm and Brex.

**Our Core Values:**

- Be Customer Obsessed: We deeply understand customer needs and put our customers at the center of everything we do

- Make it Count: Act like an owner by focusing on the impact of your work

- Find a Way: Be a creative problem solver who pushes past roadblocks to win for our customers and our teammates

- Sweat the Details: We keep our standards high and achieve them by paying attention to every detail

- Be Curious: Use a growth mindset to question assumptions, take calculated risks and stretch the boundaries of what’s possible

Senior Product Manager, Growth

**What To Expect**

Tesla is at the forefront of developing humanoid robots, known as Optimus or Optimus, on a large scale to revolutionize automation in manufacturing and material handling. By using advanced AI, Optimus will enable highly adaptable and autonomous operation. As part of our Robotic Hardware Validation team, we are seeking an exceptional Mechanical Engineer to play a critical role in testing and validating the Optimus. You will design and implement comprehensive tests at both the sub-system and component levels, developing innovative and rigorous test methodologies to ensure the reliability, performance, and safety of our cutting-edge humanoid robot. As an entry-level engineer, you will take direction from senior engineers while assuming full responsibility for the tests you design and run, providing summaries directly to leadership.

**What You'll Do**

- Develop, design and build new electromechanical test setups based on test requirements and constraints using engineering principles and CAD software

- Apply first-principles thinking and scientific methodologies to identify risks and failure modes of humanoid robot structures and develop adequate test methodologies

- Execute reliable test data collection, analyze data, identify issues and potential root causes of failures, and proactively collaborate with responsible parties to drive resolution

- Contribute to the improvement of existing validation processes and methodologies

- Document test procedures, results, and analyses clearly and concisely

**What You'll Bring**

- Degree in Mechanical Engineering or equivalent with a solid understanding of fundamental mechanical engineering principles (stress analysis, power transmission, statics, dynamics) and a demonstrated ability to apply them to practical engineering problems or equivalent experience

- Proven experience in designing and/or testing electromechanical and robotic systems, preferably within an industrial environment

- Strong modeling skills in CAD, preferably CATIA (3DExperience), and basic knowledge of GD&T

- Ability to use Python or MATLAB for test data interpretation

- Expertise in Finite Element Analysis, Failure Modes and Effects Analysis (FMEA), or data acquisition systems and methods is a plus

- Experience with selection and implementation of various electrical sensors and actuators

- Familiarity with concepts of robotic systems encompassing hardware, software, control, and firmware components is highly desirable

- Proven ability to articulate technical concepts and issues clearly and understandably through documentation and presentations

**Benefits**

**Compensation and Benefits**

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

-  Medical plans > plan options with $0 payroll deduction

-  Family-building, fertility, adoption and surrogacy benefits

-  Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution

-  Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA

-  Healthcare and Dependent Care Flexible Spending Accounts (FSA)

-  401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits

-  Company paid Basic Life, AD&D

-  Short-term and long-term disability insurance (90 day waiting period)

-  Employee Assistance Program

-  Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays

-  Back-up childcare and parenting support resources

-  Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance

-  Weight Loss and Tobacco Cessation Programs

-  Tesla Babies program

-  Commuter benefits

-  Employee discounts and perks program

Expected Compensation

$91,600 - $195,600/annual salary + cash and stock awards + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

, Tesla

Mechanical Hardware Test & Validation Engineer, Optimus

With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.
 
We serve millions of customers and many of the world’s most prominent corporate, institutional, and government clients daily, managing assets and investments, offering business advice and strategies, and providing innovative banking solutions and services.

Social Media Terms and Conditions: https://bit.ly/JPMCSocialTerms

© 2024 JPMorgan Chase & Co. All rights reserved. JPMorganChase is an Equal Opportunity Employer, including Disability/Veterans.

Industry: Financial Services
Company Size: 10,001+ employees

JPMorganChase

**Description**

**JOB DESCRIPTION**

Duties: Build and train production-grade Machine Learning on large-scale datasets to solve various business use cases for Global Banking. Use large scale data processing frameworks for feature engineering and be proficient across various data, both structured and unstructured. Use Deep Learning models and Generative AI techniques for solving various business use cases including multi-source data fusion, information retrieval, question-answering, forecasting and anomaly detection. Build ML models across Public and Private clouds including container-based Kubernetes environments. Develop end-to-end ML pipelines necessary to transform existing applications and business processes into robust Artificial Intelligence systems. Build both batch and real-time model prediction pipelines with existing application and front-end integrations. Collaborate to develop large-scale data modeling experiments, evaluating against strong baselines, and extracting key statistical insights and cause and effect relationships.

**Qualifications**

Minimum education and experience required: Bachelor's degree in Computer Engineering, Computer Science, Information Systems, Data Science, Artificial Intelligence, Machine Learning, or related field of study plus 3 years (36 months) of experience in the job offered or as Applied AI ML Associate, Software Engineer, Software Engineering Program Analyst, or related occupation. The employer will alternatively accept a Master's degree in Computer Engineering, Computer Science, Information Systems, Data Science, Artificial Intelligence, Machine Learning, or related field of study plus 1 year (12 months) of experience in the job offered or as Applied AI ML Associate, Software Engineer, Software Engineering Program Analyst, or related occupation.

Skills Required: This position requires experience with the following: Managing and transforming structured and unstructured data using Pythonic implementations of normalization, aggregation, data cleaning, enrichment, entity extraction, or sentiment analysis; Validating data quality and completeness; Implementing anomaly detection methods and building robust, reusable features for AI/ML teams; Conducting data analysis, modeling, and engineering tasks required in end-to-end AI/ML solution design and implementation using Python, SQL, and PySpark; Exploring, visualizing, and analyzing data to create and validate proof-of-concept AI/ML engineering solutions; Applying machine learning and statistical techniques including regression, classification, clustering, time series analysis, dimensionality reduction, and mathematical optimization to address business challenges; Developing, evaluating, and training AI/ML models, taking ownership of the full implementation lifecycle including hyperparameter tuning, model selection, and performance evaluation; Writing optimized code in SQL, Spark, and Python leveraging cloud technologies and cloud analytics platforms; Designing and deploying scalable, distributed statistical and AI/ML models in production environments using containerization and CI/CD pipelines; Building and maintaining end-to-end data pipelines for model deployment and operationalization, with embedded performance monitoring; Communicating, documenting, and presenting machine learning results and insights to non- technical audiences; Delivering AI/ML solutions with cross-functional teams such as Data Engineering, Model Operations, or Design; Conducting research and development work to evaluate emerging AI/ML methods, algorithms, and best practices; Translating academic research into use- case specific implementations and practical solutions; Demonstrating proficiency in MLOps practices, model monitoring, automated retraining, data privacy and compliance in AI/ML workflows, version control systems, RESTful API development for model serving, distributed computing frameworks, and experiment tracking tools.

Job Location: 3223 Hanover St, Palo Alto, CA 94304.

Full-Time. Salary: $177,500 - $260,000 per year.

**About Us**

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

**About The Team**

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Applied AI ML [Multiple Positions Available]

We're the #1 AI CRM—where humans with agents drive customer success together with AI, data, and Customer 360 apps on one platform.

Privacy Statement: http://www.salesforce.com/company/privacy/

Industry: Software Development
Company Size: 10,001+ employees

Salesforce

~~To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.~~

Job Category

Software Engineering

Job Details

**About Salesforce**

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

**The Role**

We're hiring an AI Cloud Architect to help shape how agentic systems are built, deployed, and scaled at Salesforce. You'll work at the frontier of the Agentforce platform — inventing new primitives, incubating next-gen agentic systems, partnering directly with customers, and setting architectural direction for how enterprise AI agents work in production.

This is a builder-communicator role. You'll write code ~~and ~~ whitepapers, design runtimes ~~and ~~ present to executive leadership.

**What You'll Do**

**Invent and Incubate**

Drive fundamental advances in agentic AI — new execution models, agent orchestration frameworks, and stateful runtime architectures. Lead incubation projects exploring next-generation agentic systems for the enterprise, including OpenClaw-style reasoning architectures and emerging multi-agent coordination patterns. The kind of work that produced Agent Graph, AgentScript, and the Graph Runtime powering Agentforce today.

**Shape the Core Platform**

Influence core architectural decisions across Agentforce — agent determinism, A2A protocols, long-running async workflows, and context engineering. Contribute adjacently to the agent development lifecycle — including Agent Builder, Agent Testing Center, and Agent Observability — helping define how developers build, validate, and monitor agents end-to-end.

**Partner with customers**

Work directly with strategic customers to understand their business context and co-design solutions using Agentforce. Translate complex agent capabilities into concrete, trustworthy outcomes — from proof-of-concept to production.

**Write and communicate with conviction**

Produce technically rigorous, persuasive content — design docs, engineering blog posts, developer documentation, and external presentations. You have a clear point of view and can defend it.

**What We're Looking For**

**Technical depth**

- Expert in distributed systems, stateful runtimes, and LLM-based agent architectures

- Experience building orchestration frameworks, graph-based execution engines, or agent DSLs

- Strong grasp of LLM behavior, context management, and agent reliability in production

- Fluency in Python and Java; comfortable with cloud-native infra

- Curiosity about and familiarity with frontier agentic research — reasoning loops, tool use, memory architectures, and multi-agent systems

**Builder track record**

- You've shipped durable technical artifacts — platforms, frameworks, or open-source projects others build on

- Comfortable going from early-stage experiment to prototype to GA in fast-moving environments

- Experience with incubation, 0→1 projects, or founding engineer environments is a strong plus

**Communication and customer instincts**

- Exceptional written communication — from design docs to customer whitepapers

- Can speak to a developer, an enterprise architect, and a CIO with equal clarity and credibility

- Experience engaging enterprise customers as a trusted technical advisor

**Collaboration and influence**

- Drives alignment across engineering, product, and field without requiring authority

- Raises the technical bar around them — a natural teacher and force multiplier

**Nice to Have**

- Open-source community experience or developer advocacy background

- Familiarity with Salesforce platform primitives (Flow, Apex, Einstein, metadata)

- Background in ML infrastructure, data engineering, or AI platform work

- Experience with language/compiler design (relevant to DSL authoring systems like AgentScript)

- Familiarity with observability tooling, testing frameworks, or developer experience platforms

**Why This Role**

The agentic AI space is moving fast, and the hardest problems — agent determinism, stateful long-running workflows, multi-agent coordination, enterprise-grade reliability, next-gen reasoning architectures — don't have solved answers yet. You'll work alongside exceptional systems thinkers and lead incubation work that could define the next chapter of Agentforce, while also contributing to the platform that already ships to millions of customers. It's rare to find a role that demands both deep invention and real-world enterprise impact. This one does.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and ~~be your best ~~, and our AI agents accelerate your impact so you can ~~do your best ~~. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $218,400 - $365,200 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $263,200 - $401,400 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

Software Engineering Architect

On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo app and ride today.

Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com/careers to check out our official job listings.

Industry: Technology, Information and Internet
Company Size: 1,001-5,000 employees

Waymo

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo’s audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology—resulting in denser signals and challenging new problems in estimation and experimental design.

In this hybrid role you will report to a Data Science Manager.

**You Will**

- Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation.

- Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving.

- Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc.

- Frame and solve ambiguous problems, derive data-driven conclusions, and communicate findings to senior stakeholders.

- Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo’s simulation software; facilitate deployment readiness decisions for both products.

**You Have**

- Degree in a quantitative field (e.g. Statistics, Mathematics, Physics)

- 3+ years of industry experience solving data science problems or a PhD in a quantitative field

- Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models

- Demonstrated knowledge of Python/SQL/R data analysis libraries and packages

**We Prefer**

- PhD in a quantitative field

- Experience solving problems related to Autonomous Driving or Ride Hailing

- Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range

$170,000—$216,000 USD

Data Scientist

In an era of accelerating change, Exponent is the only premium engineering and scientific consulting firm with the depth and breadth of expertise to solve our clients’ most profoundly unique, unprecedented, and urgent challenges.

Exponent brings together 90+ technical disciplines and 950+ consultants to help our clients navigate the increasing complexity of more than a dozen industries, connecting decades of pioneering work in failure analysis to develop solutions for a safer, healthier, sustainable world.  

Our consultants deliver the highest value by leveraging multidisciplinary expertise and resources from across Exponent's offices in North America, Asia, and Europe. Exponent's consultants, laboratories, databases, and computing resources work seamlessly together around the globe, enabling us to produce the breakthrough insights needed to help multinational companies, startups, law firms, insurance companies, government, and society respond to incidents and push their products and processes forward. 

Exponent is certified to ISO 9001.

Industry: Business Consulting and Services
Company Size: 1,001-5,000 employees

Exponent

**About Exponent**

**Exponent ** is the only premium engineering and scientific consulting firm with the depth and breadth of expertise to solve our clients’ most profoundly unique, unprecedented, and urgent challenges.

Our vision is to engage multidisciplinary teams of science, engineering, and regulatory experts to empower clients with solutions that create a safer, healthier, more sustainable world. For over five decades, we've connected the lessons of past failures with tomorrow's solutions to advise clients as they innovate technologically complex products and processes, ensure the safety and health of their users, and address the challenges of sustainability.

Join our team of experts with degrees from top programs at over 500 universities and extensive experience spanning a variety of industries. At Exponent, you’ll contribute to the diverse pool of ideas, talents, backgrounds, and experiences that drives our collaborative teamwork and breakthrough insights. Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning. Thanks for your interest in joining our team!

**Key statistics:**

-  950+ Consultants

-  640+ Ph.D.s

-  90+ Disciplines

-  30+ Offices globally

**Our Opportunity**

We are currently seeking a **Materials Scientist/Engineer ** to join our **Materials Science & Electrochemistry ** Practice in **Menlo Park, CA. ** In this role, you will work as part of a team conducting scientific and engineering analyses to support Exponent's clients across a range of industries, including consumer electronics, medical devices, and utility infrastructure. Projects span failure analysis and root cause investigations, regulatory compliance support, product evaluations, and data-driven engineering assessments. You will have the opportunity to contribute to both laboratory-based and field-based investigations, as well as computational analysis. At Exponent, collaboration across disciplines is central to how we work. You will regularly interface with colleagues across various technical fields and are expected to actively build those internal relationships and seek out opportunities to contribute broadly across the practice and the firm.

**You will be responsible for**

-  Materials characterization, failure analysis, and root cause investigations using techniques such as SEM, EDS, XRF, FTIR, XPS, ARM, and mechanical testing methods, such as tensile testing, hardness testing, microindentation, and nanoindentation

-  Supporting field inspections and field-based analytical testing, including use of portable and handheld instrumentation

-  Designing and executing laboratory and field experiments, developing test protocols, and translating observations into actionable findings

-  Applying computational and data analysis tools (R, Python, and/or MATLAB) to process, analyze, and synthesize complex engineering and materials datasets

-  Preparing and presenting technical reports, data summaries, and client-ready deliverables that communicate findings clearly to both technical and non-technical audiences

-  Proactively identifying opportunities to contribute to projects across Exponent's practice areas and building relationships with colleagues firmwide

**You Will Have The Following Skills And Qualifications**

-  Ph.D. in Materials Science and Engineering, Mechanical Engineering, or a closely related field, with significant Materials Science coursework and research experience

-  Hands-on experience with materials characterization techniques (e.g., SEM, EDS, XRF, FTIR, optical microscopy, mechanical testing) and the ability to integrate results across multiple methods to develop robust, defensible conclusions

-  Working knowledge of mechanics and mechanical behavior of materials, including an understanding of stress, fracture, deformation, or related concepts

-  Proficiency in at least one scientific computing language (R, Python, or MATLAB), with demonstrated experience applying computational methods to data analysis, data processing, or instrumentation workflows

-  Demonstrated ability to work independently, take ownership of tasks, and proactively seek out ways to contribute without requiring close direction

-  Strong interpersonal skills and a genuinely collaborative, outgoing nature - you enjoy building relationships, asking questions, and finding ways to be useful across teams

-  Excellent verbal and written communication skills, including the ability to explain complex technical concepts to non-specialist audiences

-  The ideal candidate is intellectually curious, adaptable, and energized by variety - someone who thrives when working across multiple projects, industries, and technical domains simultaneously

-  Presently legally authorized to work in the United States. No immigration sponsorship or processing required

Nice to Have

-  Experience with portable or field-deployed analytical instrumentation (e.g., handheld XRF, LIBS, or similar)

-  Familiarity with statistical methods for data quality evaluation, measurement uncertainty, or method comparability

-  Experience with image processing, machine vision, or quantitative image analysis applied to materials data

-  Experience with hands-on instrumentation for laboratory testing

Applicants are encouraged to submit a CV (Curriculum Vitae) with publications (feel free to include publications that are in review or pending) [not restricted to 1 page].

**Life @ Exponent**

To learn more about life at Exponent and our impact, please visit the following links:

https://www.exponent.com/careers/life-exponent

https://www.exponent.com/company/our-impact

Attracting, inspiring, developing, and rewarding exceptional people with diverse backgrounds and expertise are central to our corporate culture. Our diverse team allows us to provide better value to our clients and enjoy an enriched work environment.

Our firm is committed to offering a variety of programs and resources to support health and well-being. We believe that providing competitive benefits as well as compensation and recognition programs empowers our staff to do work that makes a difference.

**Work Environment**

At Exponent, we have found that in-person interactions deepen employee engagement and are crucial for development, for realizing the full potential of our talented and diverse teams, and for building a more inclusive workplace where all have a sense of belonging. In our offices, you can expect a supportive culture and a collaborative, dynamic, multi-disciplinary work environment. Our consultants engage in-person in the office unless they are traveling for client work or other business activities.

We value the rich lives our colleagues enjoy outside of work and understand that work/life balance is critical to our employees and their well-being. Consultants have the autonomy to balance their work and personal schedules so you can meet with clients, visit inspection sites, attend conferences, and make time for priorities outside of work, too. It is this flexible, agile work style and working hours that allow our teams to drive innovation and results in their own ways, while meeting the needs of clients.

**Compensation**

Our consultants are rewarded for their technical and business contributions and have an opportunity to plan for future success and career growth. Exponent's total compensation plan is consistent with its expectations of the quality and quantity of work performed and with the professional standards set by Exponent. At the Associate and Senior Associate level, total compensation includes base salary, bi-weekly bonuses for high-intensity efforts, annual bonus and 401(k) employer contribution of 7% of base salary.

The base salary range for this position is dependent on experience and capabilities which will be assessed during the interview process.

**Salary Range**

USD $140,000.00 - USD $157,000.00 /Yr.

**Benefits You Will Enjoy**

Access benefits information on our Life@Exponent page:

https://www.exponent.com/careers/life-exponent

Exponent is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.

If you need assistance or accommodation due to a disability, you may email us at HR-Accommodations@exponent.com .

**Job Locations**

US-CA-Menlo Park

Materials Scientist/Engineer (Ph.D.)

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

Check out our career opportunities at goo.gle/3DLEokh

Industry: Software Development
Company Size: 10,001+ employees

Google

**Minimum qualifications:**

- Bachelor's degree or equivalent practical experience.

- 5 years of experience in product management or related technical role.

- 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).

**Preferred qualifications:**

- Master’s degree or PhD in a technology or business related field.

- 3 years of experience in a business function or role (e.g., marketing, business operations, consulting).

- 3 years of experience in a role preparing and delivering technical presentations to executive leadership.

- 2 years of experience in software development or engineering.

- 2 years of experience working cross-functionally with engineering, UX/UI, sales, finance, and other stakeholders.

- 1 years of experience in technical leadership.

**About The Job**

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

The US base salary range for this full-time position is $163,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

**Responsibilities**

- Understand markets, competition, and user requirements in depth.

- Launch new products and features, test their performance, and iterate quickly.

- Work collaboratively with engineering, marketing, legal, UX, and other teams on technologies.

- Develop solutions to problems by collaborating as needed across regions, product areas, and functions.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Product Manager II, Search

**What To Expect**

We are looking for a highly skilled and motivated Supply Chain Manager to support our teams. This person will be a member of our Supply Chain Organization supporting the development, implementation, and management of strategies to provide Tesla with optimal supply assurance, pricing, flexibility, quality and delivery performance.

The Supply Chain Manager builds and leverages strong working relationships with our engineering teams and key suppliers to assure cost, quality, and delivery targets are met. They work toward good supplier relationships and total costs of ownership to achieve maximum advantage for Tesla and our customers.

Tesla is a fast-moving, dynamic environment where flexibility and adaptability are key attributes needed for success. The successful candidate will be a self-starter; motivated with expert overall Sourcing Expertise.

**What You'll Do**

- Owner of RFQ's and contract management - ensure Non-Disclosure Agreements, General Terms & Conditions, Price Agreements, and other related contracts are negotiated, agreed, and appropriately documented

- Drive continual cost reduction and avoidance initiatives through ad hoc price negotiations

- Analyze current spend and evaluate current suppliers. Consolidate spend across supply base to create leverage, analyze purchasing trends and develop sourcing alternatives. Identify new high potential suppliers on global basis

- Manage respective supplier relationships and performance, including but not limited to dispute resolution

- Develop key performance measures for chosen suppliers and negotiate on multiple variables to award longer-term strategic contracts that result in significant cost reduction and improved service levels

- Lead the vendor sourcing process; evaluate and provide commercial guidance on final selection of suppliers

**What You'll Bring**

- Bachelor’s Degree in Business, Supply Chain, Operations Management, Engineering or equivalent experience

- Ability to multi-task, prioritize and work in an extremely fast-paced environment

- Strong negotiation skills, and experience with software contracts

- Analytical mindset with the ability to build Should-Cost models and cost forecasts

**Benefits**

**Compensation and Benefits**

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

-  Medical plans > plan options with $0 payroll deduction

-  Family-building, fertility, adoption and surrogacy benefits

-  Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution

-  Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA

-  Healthcare and Dependent Care Flexible Spending Accounts (FSA)

-  401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits

-  Company paid Basic Life, AD&D

-  Short-term and long-term disability insurance (90 day waiting period)

-  Employee Assistance Program

-  Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays

-  Back-up childcare and parenting support resources

-  Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance

-  Weight Loss and Tobacco Cessation Programs

-  Tesla Babies program

-  Commuter benefits

-  Employee discounts and perks program

Expected Compensation

$88,000 - $198,000/annual salary + cash and stock awards + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

, Tesla

Supply Chain Manager



Industry: Technology, Information and Internet
Company Size: 11-50 employees

About xAIxAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

**About the Role **

We are seeking a seasoned Senior Network Security Engineer to join our dynamic security team. The ideal candidate will possess deep expertise in network security technologies, focusing on switching and routing systems within cloud-native and AI-focused infrastructure. You will thrive in a fast-paced, challenging environment, demonstrating adaptability, excellent multitasking skills, and the drive to tackle complex security issues independently while ensuring robust protection for our innovative technologies.

**Key Responsibilities: **

- Serve as a subject matter expert in network security, particularly firewalls, VPNs, IDS/IPS, routing protocols (e.g., BGP, OSPF), and switching technologies.

- Manage and update firewall configurations across our enterprise network to align with operational and security needs.

- Deploy new firewalls, switches, routers, and network security devices in response to evolving threats and demands.

- Develop and propose innovative network security solutions to address operational challenges in routing and switching environments.

- Enhance security processes through thorough documentation and change management.

- Act as the primary resolver for complex network security issues, including escalation support.

- Ensure network security systems, switches, and routers are up-to-date with patches, firmware, and maintenance.

- Monitor and respond to security events in cloud environments (e.g., AWS, GCP, Azure, Datacenter), with emphasis on network traffic analysis.

**Ideal Experience: **

- Bachelor's degree in Computer Science, Cybersecurity, Information Systems, or a related field.

- 4+ years of experience in network security engineering, with hands-on focus on switching and routing.

- Strong understanding of network security principles, protocols (e.g., TCP/IP, VLANs, ACLs), and best practices for secure routing and switching.

- Proficiency in at least one major cloud platform (AWS, GCP, or Azure) and its network security services (e.g., VPCs, Security Groups).

- Experience with network analysis tools such as Wireshark, tcpdump; and vendors including Cisco, Juniper, Palo Alto Networks.

- Familiarity with scripting languages (e.g., Python, Bash) for automation of network security tasks.

**Preferred Qualifications: **

- Relevant network-specific certifications (e.g., CCNP Security, CCIE Security, JNCIP-SEC, PCNSE).

- Experience in multi-cloud environments and Infrastructure as Code tools like Terraform for network provisioning.

- Knowledge of DevSecOps practices tailored to network security integration.

**Bonus Skills: **

- Experience building custom tools or integrations for enhancing network security operations.

- Interest in leveraging AI for network threat detection and automation.

- Contributions to open-source projects in network security or related tools.

Annual Salary Range$180,000 - $440,000 USD

**Benefits **Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

~~xAI is an equal opportunity employer. ~~

California Consumer Privacy Act (CCPA) Notice

Senior Network Security Engineer

Snowflake delivers the Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the Data Cloud.

Industry: Software Development
Company Size: 5,001-10,000 employees

Snowflake

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

The Product Data Science team is looking for a Full-stack Senior Data Scientist to come aboard and be part of Snowflake’s most critical initiatives. In this role, you will work closely with our Product and Engineering teams on everything from core operations, to innovative AI/ML tools, to our fastest-growing new and experimental features. You will work on long-running analytical initiatives yielding substantial product enhancements. This is a strategic, high-impact role that will help shape the future of Snowflake products and services.

**PLEASE NOTE: ** The position level is determined during the interview process and is influenced by various factors, including experience, educational attainment, skill level requirements, and overall interview performance.

**AS A SENIOR FULL STACK DATA SCIENTIST AT SNOWFLAKE YOU WILL:**

- Be a proactive partner to Product Management and Engineering to shape feature roadmaps and help design metrics and analytical workflows to evaluate their success and effectiveness.

- Build efficient data models and high quality production pipelines and partner with Engineering for all necessary telemetry.

- Build scalable and extensible analytics/ML/causal inference frameworks to uncover feature usage patterns, subtle issues with the system, potential performance enhancements, and areas to improve customer experience.

- Be an early adopter/pro user of Snowflake features and provide feedback on design parameters.

- Evaluate the right surface (Snowflake Notebook/Worksheet/Snowsight Dashboards/Streamlit Apps) to disseminate your insights for maximal impact.

- Influence decisions and drive initiatives with the Product Management and Engineering teams to drive better outcomes for our customers.

- Answer questions from the executive team for reporting to the board and contribute to industry reports and similar publications.

- Think creatively and be scrappy to find optimal solutions to our complex, often unstructured problems.

**OUR IDEAL CANDIDATE WILL HAVE:**

- MS/Ph.D. in quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS).

- 8+ years of relevant data science or related experience.

- Expert-level experience working with SQL & Python including scikit-learn, numpy, and pandas.

- Expert in working with large-scale machine generated data (e.g., logs, application telemetry, or customer usage data).

- High fluency with MPP databases, such as Snowflake, Redshift, BigQuery, Vertica, etc.

- Expert data-driven storytelling skills to convey insights to business leaders and technical stakeholders and influence decisions.

- The ability to thrive in a dynamic environment, being flexible and willing to jump in and do whatever it takes to contribute to the success of your area.

~~Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.~~

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

The following represents the expected range of compensation for this role:

-  The estimated base salary range for this role is $168,000 - $220,500.

- Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.

To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

Senior Data Scientist - Product

**What To Expect**

Tesla Energy is accelerating the world’s transition to sustainable energy through a rapidly growing fleet of residential solar, battery, and charging systems, spanning hundreds of thousands of homes across the globe. Our distributed network generates terabytes of real-time telemetry data every day, creating an unparalleled opportunity to understand how hardware performs under real-world conditions. We are seeking a product engineer to own the end-to-end product lifecycle for our residential energy systems. You will be the technical bridge between fleet data, field failures, and engineering teams, diagnosing complex failure modes, leading root cause investigations, and driving corrective actions that improve performance for hundreds of thousands of customers. This is a high-impact, hands-on role with direct visibility to senior leadership. You’ll work across the full stack: from interpreting telemetry and debugging hardware in the field with multimeters and oscilloscopes, to writing Python scripts that analyze fleet-wide failure patterns, to leveraging AI tools to accelerate diagnostics and documentation. You’ll own the “state of the fleet” from a product performance perspective and help shape the future of Tesla’s energy hardware.

**What You'll Do**

- Lead Field & Fleet Diagnostics: Investigate complex product issues using electrical debugging tools (multimeters, oscilloscopes, etc.). Conduct on-site or remote troubleshooting to isolate root causes

- Own Product Quality from Data to Action: Define data signatures that uniquely identify issues, develop and run SQL/Python queries on fleet logs, and integrate findings into automated alerting and diagnosis systems

- Drive End-to-End Corrective Actions: Translate root cause findings into firmware changes, manufacturing process improvements, design modifications, or service campaigns. Track implementation timelines and confirm efficacy

- Produce Executive-Level Technical Reports: Author regular reports summarizing trends, countermeasure impact, fleet health and insights, communicating complex technical insights clearly to leadership

- Leverage AI & LLM Tooling: Use AI-powered tools (e.g., Claude Code, GitHub Copilot) to accelerate code generation, test automation, documentation, and diagnostic reasoning

- Support Escalations: Provide Tier 3 engineering support for safety-critical issues, communicating findings and actions clearly and decisively

**What You'll Bring**

- Degree in an engineering discipline or computer science (electrical engineering strongly preferred) or equivalent experience

- 3-5 years of role-relevant practical work experience

- Proven hands-on experience using multimeters, oscilloscopes, and other electrical test equipment to troubleshoot and debug hardware

- Strong analytics skills, proficient in SQL and Python for analyzing large-scale datasets

- Experience with AI/LLM tooling in engineering workflows, with demonstrated use of tools like Claude Code, GitHub Copilot, or similar to accelerate coding, debugging, documentation, and problem-solving

- Experience leading or participating in 8D or similar failure analysis processes, from identification through countermeasure implementation and monitoring

- An excellent attention to detail and an ability to produce clear and concise written instructions

Work travel is expected to be <5% in this job. This could include traveling to lab sites, customer sites, our manufacturing facilities, etc.

**Benefits**

**Compensation and Benefits**

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

-  Medical plans > plan options with $0 payroll deduction

-  Family-building, fertility, adoption and surrogacy benefits

-  Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution

-  Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA

-  Healthcare and Dependent Care Flexible Spending Accounts (FSA)

-  401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits

-  Company paid Basic Life, AD&D

-  Short-term and long-term disability insurance (90 day waiting period)

-  Employee Assistance Program

-  Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays

-  Back-up childcare and parenting support resources

-  Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance

-  Weight Loss and Tobacco Cessation Programs

-  Tesla Babies program

-  Commuter benefits

-  Employee discounts and perks program

Expected Compensation

$100,000 - $180,000/annual salary + cash and stock awards + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

, Tesla

Residential Product Engineer

Intrinsic is a robotics software and AI company at Alphabet. Our mission is to make industrial robotics accessible and usable for millions more businesses, entrepreneurs, and developers. We are a multidisciplinary team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.

Industry: Software Development
Company Size: 51-200 employees

Intrinsic

Intrinsic is an AI robotics group at Google aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core.

Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.

Role

As a Robotics Software Engineer, you will develop innovative algorithms and strategies to facilitate robust grasping and manipulation in complex, real-world manufacturing environments. You will be responsible for abstracting the inherent complexity of robotic manipulation into intuitive, seamless workflows. By building a software layer that possesses a deep understanding of manufacturing tasks, you enable users to transition from design to execution without needing deep subject matter expertise. Working alongside a diverse team of roboticists and application engineers, you will integrate and validate solutions across various industrial tasks and contribute to the launch of impactful robotics products.

How your work moves the mission forward

- Design and implement robust and efficient production-ready algorithms for robotic grasping and manipulation.

- Identify opportunities to apply cutting-edge advancements in robotics and apply them to practical industrial problems.

- Transform complex partner requirements into highly reliable and functional technical outcomes.

- Improve our robotics software framework and contribute to a reliable product.

Skills you will need to be successful

- Master’s degree in Robotics, Computer Science, or a related field, with 5+ years of experience in robotic manipulation.

- Strong foundation in linear algebra, spatial transformations, and rigid body dynamics.

- Hardware Experience: Direct experience testing and iterating on physical robots.

- 3 years of professional experience programming robotics software in C++ and Python, with a proven track record of shipping production-quality code.

Skills that will differentiate your candidacy

- PhD in Robotics and Machine Learning, Reinforcement Learning, or a related field with a focus on robotic manipulation.

- ML Frameworks: Deep expertise with JAX, TensorFlow, or PyTorch.

- Experience in developing the entire stack: ranging from writing kinematics, motion generation, to system integration and testing.

~~In addition to the salary range below, this full-time position is eligible for bonus + equity + benefits. Your recruiter will share more about the specific salary range + bonus + equity for your targeted location and role during the hiring process.~~

Salary Range

$216,450—$235,875 USD

At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.

If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.

Robotics Software Engineer - Grasping

Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. Hundreds of thousands of users have entrusted Addepar to empower smarter investment decisions and better advice over the last decade. With client presence in more than 45 countries, Addepar’s platform aggregates portfolio, market and client data for over $6 trillion in assets. Addepar’s open platform integrates with more than 100 software, data and services partners to deliver a complete solution for a wide range of firms and use cases. Addepar embraces a global flexible workforce model with offices in Silicon Valley, New York City, Salt Lake City, Chicago, London, Dublin, Edinburgh and Pune.

Industry: Software Development
Company Size: 501-1,000 employees

Addepar

**Who We Are**

Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva and São Paulo.

**The Role**

We are currently seeking a Staff Software Engineer to join the Investment Data Platform team! In this role, you will own the opportunity to architect and implement the next-generation compute platform, tackling complex scalability challenges to meet the demand of Addepar’s exponential growth and global expansion. We are looking for a passionate and self motivating software engineer who cares deeply about code quality, performance, and building high-scale systems.

Addepar takes a market-based approach to pay. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York.

The current range for this role is $174,000 - $273,000 (base salary) + bonus + equity + benefits.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.

Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment.

**Who You Are**

- 8+ years of software engineering experience

- Proficiency in object-oriented languages such as Java

- Proficiency in at least one cloud-native or messaging technology such as Kubernetes, Istio, containerization, Kafka, etc.

- Proficiency with relational and non-relational datastores

- Proficiency in CI/CD, monitoring, and logging systems

- Expertise in any of the above technical requirements is a huge plus!

**Our Values**

- Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.

- Build Together - Collaborate to unlock the best solutions. Deliver lasting value.

- Champion Our Clients - Exceed client expectations. Our clients’ success is our success.

- Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.

- Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.

In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to ta-operations@addepar.com.

Sr. Staff Software Engineer - Investment Data Platform

Zettabyte is a global innovator in AI data centre infrastructure and full-stack GPU software solutions, delivering high-performance, energy-efficient AI computing to sovereigns and enterprises. Zettabyte’s state-of-the-art Zware software suite integrates the entire AI computing infra stack, utilizing custom hardware, advanced liquid cooling, and sovereign AI infrastructure that prioritizes cybersecurity and energy efficiency, satisfying the demands of modern AI workloads.  Zettabyte has Foxconn, Wistron and Pegatron as its investors and these GPU server makers build over 75% of the world’s AI GPU servers powering AI LLMs, agents and applications.

Industry: IT 服務與 IT 諮詢
Company Size: 11-50 名員工

Zettabyte Inc

**About Us**

At Zettabyte, we're building the software and systems that make large-scale AI infrastructure actually work. We help enterprises and sovereign nations deploy, manage, and optimize GPU clusters — from bare metal to cloud. Backed by the world's top hardware supply chain (Foxconn, Wistron, Pegatron), we're scaling AI compute globally.

Why This Role Exists

We're hiring new grad software engineers to work across the entire stack — from the frontend interfaces enterprises use to manage GPU clusters, to the backend services and infrastructure that power them, to the Kubernetes clusters where AI actually gets trained and served. You'll pick up whatever needs to be done: shipping product features, writing backend services in Go, operating infrastructure, and dogfooding our product relentlessly. We need builders who can move fast across boundaries.

What You'll Do

- Own features end-to-end — from scoping the problem with users, to writing frontend and backend code, to deploying and monitoring in production

- Build fast, polished interfaces in Vue, Next.js, or React

- Design and build backend services in Go

- Own and operate Kubernetes infrastructure — deployments, scaling, monitoring, troubleshooting

- Build and maintain CI/CD pipelines and infrastructure-as-code

- Administer and harden Linux systems; own networking end-to-end (DNS, firewalls, load balancers, ingress, VPNs)

- Set up monitoring, alerting, and runbooks. Run incident response and post-mortems

- Dogfood our product relentlessly. Use it daily, break it on purpose, file detailed bugs, push the team to ship better software

- Automate everything. If you're doing it manually more than once, script it

- Operate cloud infrastructure (GCP, AWS, or Azure)

- Use AI dev tools (Claude Code, Codex, Cursor, etc.) to move faster and ship more

You'll Thrive Here If You

- 0–2 years of experience — new grads welcome, what matters is what you can do

- Strong in at least one of: frontend (JavaScript/TypeScript, Vue/React/Next.js), backend (Go, service design, APIs), or infrastructure (Linux, Kubernetes, networking)

- Comfortable working across the stack — you don't need to be an expert in everything, but you're not afraid to jump in

- Testing mindset — you enjoy breaking things and making sure code works

- Product instincts — you think about the user first and notice when something feels off

- High agency — when something is broken, you fix it; when something is missing, you build it

- Ship fast, iterate, communicate clearly

- Comfortable with ambiguity. Requirements change. Priorities shift. You thrive in that

Bonus Points

- Fluent in Chinese (Mandarin) — strong bonus

- Deeper Kubernetes experience — RBAC, networking policies, operating clusters in production

- Terraform, Pulumi, or other IaC tools

- Observability stacks (Prometheus, Grafana, Datadog, ELK)

- Service meshes, gRPC, or message queues (Kafka, NATS, RabbitMQ)

- Design sensibility — Figma to pixel-perfect, or skip Figma entirely

- Familiarity with AI/ML tools and integrating LLMs into products

- Bare metal or on-prem experience

- Security hardening or pen-testing background

- Contributions to open source or notable side projects

- A homelab you can tell us about in unreasonable detail

Don't meet every requirement? Please still apply. We care more about what you can build and how you think than whether you check every box. If this role excites you, we want to hear from you.

Logistics & Compensation

- Competitive salary and equity based on experience

- Hybrid — 3 days in office, 2 days WFH; must be located in Palo Alto

- Applicants must be authorized to work in the United States without visa sponsorship

Software Engineer (New Grad)

Typeface is the generative AI application to supercharge personalized content creation for businesses. By uniting content velocity with brand personalization and control, any enterprise can now create exceptional, on-brand content faster and easier than ever before.

Industry: Software Development
Company Size: 51-200 employees

Typeface

**About Typeface**

We help the world’s biggest brands move from brief to fully personalized campaigns — in days, not months.

Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we’re building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing.

**What You’ll Do**

As a Senior Product Manager, you’ll lead the development of AI-driven features and experiences from concept to launch. You’ll work at the intersection of product, data, and engineering, translating complex AI capabilities into simple, valuable user outcomes. We are looking for someone who enjoys the fast-paced startup life, can envision an AI and future-first product roadmap, drive results, is a team player and very customer-oriented.

**How You’ll Make An Impact**

- Define and drive product strategy for AI-powered features and core platform capabilities

- Build innovative 0 -> 1 solutions for the enterprise marketers and creators

- Work with engineering to build a foundationally solid AI-native, multi-modal content design engine

- Lead discovery across users, data, and model capabilities to identify high-impact opportunities

- Translate ambiguous problems into clear product requirements, experiments, and success metrics

- Own the lifecycle of AI features, including model iteration, evaluation, and continuous improvement

- Establish feedback loops between user behavior, product metrics, and model performance

- Balance speed and quality when shipping AI features, managing trade-offs like accuracy, latency, and cost

- Communicate product vision and decisions clearly across technical and non-technical stakeholders

**What You Bring**

- 7+ years of product management experience, including experience building AI-native software or application

- Experience having defined and shipped a new AI product capability from concept through adoption

- Strong understanding of how AI/ML systems work (you don’t need to build models, but you understand their constraints)

- Experience shipping 0→1 or highly iterative products in a fast-paced environment

- Data-driven mindset with strong analytical and experimentation skills

- Excellent communication skills, you can simplify complexity for different audiences

- Comfort operating in ambiguity and making decisions with incomplete information

**Location**

This is a hybrid role based in our Palo Alto HQ. We collaborate in-office 3 days a week.

**Base Salary**

The range for this role is $180,000-$210,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process.

**Benefits**

- Competitive compensation — including salary, equity, and 401(k)

- Full medical, dental, and vision insurance for you and your family

- HSA and FSA options to support your financial wellness

- Flexible time off — including parental leave

- Well-being programs — resources to support your mental and physical health

- Daily lunch & snacks

- Mentorship & impact — work closely with top AI leaders on products that ship

**Equality Opportunity Statement**

We welcome and encourage applicants from all backgrounds. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, medical condition, veteran status, or any other legally protected status. We comply with applicable laws in every jurisdiction where we operate.

**Why You’ll Love Working Here**

- Build something big — Be part of a fast-growing startup defining a new category: marketing orchestration powered by Agentic AI.

- Your work will matter — Trusted by Fortune 100 companies, our platform delivers 10x content velocity and 90% faster campaigns.

- A+ team — Collaborate with veterans from Adobe, Microsoft, Google, and top AI companies.

- Backed by the best — GV, Salesforce Ventures, Microsoft, Lightspeed, Madrona and Menlo ($165M raised).

- Recognized for innovation — TIME Best Inventions, Fast Company Next Big Thing in Tech, Gartner Cool Vendor, Adweek AI Company of the Year, LinkedIn Top Startup, Webby Award (AI Work & Productivity).

Senior Product Manager

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Mountain View, CA, USA; Chicago, IL, USA; New York, NY, USA **.**Minimum qualifications:**

- Bachelor's degree or equivalent practical experience.

- 5 years of experience in product management or related technical role.

- 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).

**Preferred qualifications:**

- 2 years of experience building and delivering agentic development solutions.

- 2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.

- 2 years of experience driving AI-transformation at your workplace.

- 1 year of experience with Claude Code, Cursor, or Glean.

**About The Job**

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

The Search AI Platform team’s mission is to empower Search developers, PMs, and UXD to rapidly innovate and launch groundbreaking AI-powered Search experiences with agents, using capabilities at the cutting edge of agentic development. We build agentic development capabilities (agent skills, CLIs, agent teams/pipelines, etc.) that map to the entire SDLC, including debugging, testing, quality hillclimbing, UI, tech debt management, and more. We create offerings on those capabilities and drive the GTM strategies that scale their adoption and impact. As a PM on the team, you will be directly accountable for developing and applying these devex-transforming capabilities to key aspects of the SDLC, landing impact measurable in terms of increased productivity, velocity, and levels of agent automation.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

The US base salary range for this full-time position is $163,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

**Responsibilities**

- Understand AI markets, agentic development competition, and developer requirements in depth.

- Launch new AI platform products and features, test their performance, and iterate quickly.

- Work collaboratively with engineering, UX, and legal teams on cutting-edge agentic development solutions.

- Develop solutions to infrastructure problems by collaborating across regions and functions.

- Drive the internal AI-transformation strategy for the Search developer ecosystem.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Product Manager II, AI Platform, Search



Industry: 电信业
Company Size: 超过 10,001 人

OPPO

OPPO Research Center is seeking a passionate and innovative Research Scientist to advance our next-generation AI hardware platforms—including AI Glass/Earphone/etc.—through cutting-edge generative AI research. You will drive the design, training, and deployment of multimodal intelligence models that seamlessly integrate language, vision and action. As part of our collaborative team, you will co-design algorithms and hardware, translate research into real-world products, and publish at top-tier AI conferences.

**Requirements**

**Key responsibilities:**

- Develop LLM model with parameter number around 1 billion, with special focus on developing innovative LLM architectures for long context memory, and in-context retrieve and generation

- Develop synthetic data pipeline/creating real data pipeline for LLM training

- Develop effective methods for benchmarking, e.g., LLM-As-Judge

- Collaborate closely with hardware engineers, software developers, and product teams to integrate research prototypes into production systems

- Publish research findings in premier AI conferences (e.g., ICLR, NeurIPS)

**Qualifications**

Minimum:

- Master/Ph.D. in AI, Computer Science, or a related discipline, with a focus on NLP/AI

- Strong background in generative AI, with hands-on experience developing LLM

- Practical expertise in training and optimizing large language models for both cloud and edge inference

- Excellent programming skills in Python

Preferred:

- Deeply knowing the concept of LLM context, memory, RAG, and has related experiences in those topics

- Has the experience to build LLM training dataset, and benchmark, with such proved record in publications

- Experience with large language model with parameter number around 1 billion, knowing the tradeoffs in such models

- Contributions to open-source AI projects

- Strong collaborative and communication skills

**Benefits**

OPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

The US base salary range for this full-time position is $100,000-$300,000 + bonus + long term incentives benefits. Our salary ranges are determined by role, level, and location.

NLP Research Scientist

At MAI, we are pioneering the future of what AI and consumer technology can be.

Industry: Software Development
Company Size: 5,001-10,000 employees

Microsoft AI

**Overview**

As a Member of Technical Staff - Machine Learning, you will work to create LLM models for general purpose capabilities and for products. You may be responsible for developing new methods to train core LLM capabilities (including agentive), collecting data, evaluating LLMs, creating data flywheels, tooling for LLM training/evals, writing production quality code, and creating new user-facing features. You should be comfortable creating Reinforcement Learning data, fine tuning, or training classifiers or engineering prompts to create SOTA foundation models and support Microsoft products and the Cloud API. We’re looking for someone with experience in machine learning, software engineering, as well as an effective communicator and great teammate. The right candidate takes the initiative, is user-centered and enjoys building world-class AI experiences and products in a fast-paced environment.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

**Microsoft Superintelligence Team**

This role is part of Microsoft AI's Superintelligence Team. The MAIST is a **startup-like team inside Microsoft AI **, created to push the boundaries of AI toward**Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. ** Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.

We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!

**Responsibilities**

- Own and pursue a research agenda to improve model capability and performance for agentive application.

- Collaborate closely with the other research and product teams, from pretraining to model hosting to unlock new model capabilities.

- Build robust evaluations for tracking modeling improvements.

- Design, implement, test, and debug code across our research stack.

**Qualifications**

**Required Qualification**

- Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

- OR equivalent experience.

**Preferred Qualification**

- Master's degree in Computer Science or related technical field AND 1+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience .

- Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field and experience in (e.g., finetuning models with supervision or reinforcement learning, understanding and fixing data quality and curation, working with collaborators on creating new products).

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about **requesting accommodations. **

Member of Technical Staff - Machine Learning (AI Team)

Galvanize Therapeutics is developing therapies to deliver life-changing healthcare solutions to patients and their doctors at the convergence of biology, engineering, and care delivery.

Industry: Medical Equipment Manufacturing
Company Size: 51-200 employees

Galvanize Therapeutics, Inc.

**About Galvanize Therapeutics**

Galvanize is a biomedical platform company operating at the convergence of engineering, biology, and healthcare delivery, aiming to deliver life-changing solutions to patients and their doctors. We design and develop Pulsed Electric Field Systems to achieve meaningful and lasting therapeutic outcomes for patients.

**About The Role**

The Clinical Research Scientist provides broad analytic support for Clinical Affairs activities including developing, implementing, and managing data collection, data analyses, and other activities that optimize analytical efficiency and depth. This role involves collaborating closely with team members to assist in extracting insights from clinical study data and contribute to writing reports and manuscripts.

**Qualifications**

**Education and Training**

- Minimum of a bachelor’s degree in Life Sciences, Computer Science, Data Analytics, or related analytical fields.

- Advanced degree (MS, PhD) preferred.

- Minimum of 3 years of relevant work experience.

**Skills And Experience**

- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

- Experience working with a variety of datasets and preparing reports.

- Knowledge of data analysis applications (e.g., Excel, Power BI, GraphPad Prism, R, Python).

- Knowledge of and experience with digital pathology and histological image analysis preferred, including experience with image analysis software.

- Understanding of cancer biology and immuno-oncology is preferred.

- Experience in the medical device industry and/or oncology clinical trials is preferred.

**Other Qualifications**

- Strong analytical skills, problem-solving, writing, communication, and interpersonal skills.

- Must be able to work on multiple projects simultaneously and demonstrate organizational, prioritization, and time management proficiencies.

- Able to work independently and in a team environment, with attention to detail and in an efficient manner.

- Experience with data visualization software is preferred.

**What You'll Do**

- Develop and implement image analysis tools to analyze histologically stained tissue, and develop scalable analytical workflows to support clinical research.

- Manage and optimize sample and data collection workflows and integration of sample metadata including from clinical study sites, external labs. Responsible for data receipt and organization. Plan timelines for these activities to meet business needs.

- Collaborate with cross-functional teams, such as clinical operations, medical affairs, regulatory affairs, research and development, and commercial/marketing, as needed to understand clinical team and business requirements and translate to optimal analytics output.

- Contribute to the ongoing analysis of clinical study data (e.g., histology image analysis), including data interpretation, data visualization, analysis using statistical techniques, and report generation.

- Assist with project management within the clinical affairs department, including clinical research vendor identification and management.

- Prepare data and results in a variety of formats for manuscript development and presentations. Contribute to writing reports and manuscripts and preparing presentations.

- Assist with communication of scientific and clinical findings to both internal and external stakeholders.

- Conduct and prepare literature reviews, as needed.Describe the specific responsibilities and job functions of the role

~~This role pays between ~~~~$110,000 and $115,000 ~~~~per year, and your actual base pay will depend on your location, skills, qualifications, and experience.~~

~~Galvanize offers a robust benefits package to full-time employees, including medical, dental, and vision coverage, life insurance, short- and long-term disability protection, 401(k), and flexible paid time off.~~

~~Galvanize Therapeutics is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.~~

~~We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws. ~~

Clinical Research Scientist

GEICO (Government Employees Insurance Company) offers a variety of insurance such as vehicle, property, business, life, umbrella, travel, pet, jewelry and more.  

The company, which was founded in 1936, is the third-largest auto insurer in the United States and insures vehicles in all 50 states and Washington, D.C.  

GEICO, a member of the Berkshire Hathaway family of companies, constantly strives to make lives better by protecting people against unexpected events while saving them money and providing an outstanding customer experience. Visit geico.com to learn more  

▪️ Building a Diverse Workforce  - We are building a diverse and inclusive workforce. GEICO is dedicated to fostering a workplace where everyone feels valued, respected and supported. Our company is focused on building a diverse workforce through a culture of intentional inclusion.   

▪️ Supporting Our Communities  - Our commitment to being an engaged and involved corporate citizen is important to us. We work with supportive partners across the country that help us provide resources for people in need. Authenticity and inclusiveness are paramount as we give back to our communities.  

GEICO Has Office Locations In: 
Regional offices: 
▪️Buffalo, New York 
▪️Dallas, Texas 
▪️Fredericksburg, Virginia 
▪️Indianapolis, Indiana 
▪️Lakeland, Florida 
▪️Macon, Georgia 
▪️San Diego, California 
▪️Tucson, Arizona 
▪️Virginia Beach, Virginia 
▪️Woodbury, New York 

Service centers: 
▪️Honolulu, Hawaii 
▪️Kansas City, Kansas 
▪️Iowa City, Iowa 

Claims centers: 
▪️Houston, Texas 
▪️Marlton, New Jersey 
▪️Seattle, Washington 

Headquarters 
Chevy Chase, MD

Industry: Insurance
Company Size: 10,001+ employees

GEICO

**At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.**

**Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose.**

**When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.**

Our Service Engineering team at GEICO is revolutionizing customer service using AI and multi-agent systems. If you're passionate about creating large-scale, distributed AI applications with significant business impact, this opportunity is perfect for you. Our focus is on enhancing self-service rates across all communication channels, from voice (IVR) to chat.

Our Senior Staff Engineer is a lead member of the engineering staff working across the organization to provide a friction-less experience to our customers and maintain the highest standards of protection and availability. Our team thrives and succeeds in delivering high-quality technology products and services in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from front-end UIs through back-end systems and all points in between.

**As a Senior Staff Engineer, You Will**

- Design, develop, and deploy large-scale distributed AI applications that power customer self-service across multiple communication channels (voice, IVR, chat).

- Build and optimize multi-agent systems that enable intelligent, collaborative decision-making to improve automation and customer experience.

- Collaborate with cross-functional teams (engineering, product, data science) to translate business requirements into scalable AI/ML solutions.

- Ensure system reliability, scalability, and performance through best practices in architecture, testing, and monitoring.

- Stay at the forefront of AI and distributed systems research, brining innovative approaches and tools into production environment.

- Utilize programming languages like Python, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services

- Consistently share best practices and improve processes within and across teams

**Qualifications**

- Hands-on proficiency with modern AI/ML frameworks and tools (e.g., TensorFlow, PyTorch) and programming languages such as Python, Java, or C++.

- Proven experience designing, developing, and deploying AI or machine learning models(LLMs) in production environments, with a focus on scalability and performance.

- Strong software engineering background with expertise in building large-scale distributed systems, preferably in cloud environment (Azure or AWS).

- Demonstrated ability to apply AI/ML solutions to real-world business problems, delivering measurable impact in areas such as natural language processing, speech recognition, recommendation systems, or intelligent automation.

- Experience in building products using micro-services oriented architecture and extensible REST APIs

- Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems

- Experience with continuous delivery and infrastructure as code

- Experience in leveraging PowerShell scripting

- Experience in existing Operational Portals such as Azure Portal

- Experience with application monitoring tools and performance assessments.

- Mentor junior engineers

- Ability to excel in a fast-paced, startup-like environment

- Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)

**Experience**

- 8+ years of professional software development experience within a Python or Java framework (J2EE, web containers and Java)

- 6+ years of experience in open-source frameworks

- 6+ years of experience with architecture and design

- 6+ years of experience with AWS, GCP, Azure, or another cloud service

**Education**

- Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience

IVRPOLYX

**Annual Salary**

$130,000.00 - $260,000.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.

At this time, GEICO will not sponsor a new applicant for employment authorization for this position.

**The GEICO Pledge**

**Great Company: ** At GEICO, we help our customers through life’s twists and turns. Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs.

We’re an iconic brand that thrives on innovation, exceeding our customers’ expectations and enabling our collective success. From day one, you’ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people’s lives.

**Great Careers: ** We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career – and your potential – in mind. You’ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.

**Great Culture: ** We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.

As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.

**Great Rewards: ** We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.

- Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.

- Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.

- Access to additional benefits like mental healthcare as well as fertility and adoption assistance.

- Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Senior Staff Engineer,  Interactive Voice Response - AI/ML

Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. 

Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.

Industry: Software Development
Company Size: 10,001+ employees

Microsoft

**Overview**

Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.

Advances in Artificial Intelligence (AI) increasingly depend on breakthroughs in systems and architecture, where hardware, models, and software must be co-designed to scale efficiently. This Research Internship offers the opportunity to explore next-generation AI systems through performance modeling, architectural analysis, and emerging inference mechanisms. Research Interns will investigate topics such as disaggregated inference, sparse/expert model scaling, and new accelerator, memory-architecture, and interconnect technologies. This role is ideal for students passionate about understanding AI systems end-to-end and shaping the architectural foundations of tomorrow’s intelligent datacenters.

**Responsibilities**

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.

**Additional Responsibilities**

- Investigate emerging AI system architectures and analyze how hardware, software, and model behavior interact across large-scale inference workloads.

- Develop and evaluate analytical or simulation-based performance models to identify system bottlenecks, scalability limits, and optimization opportunities.

- Prototype or assess new inference mechanisms, including disaggregated execution, sparse/expert model scaling, and hierarchical attention techniques.

- Explore next-generation accelerator, memory-architecture, and interconnect technologies, assessing their architectural trade-offs and cost implications.

- Conduct experiments, synthesize research findings, and communicate results to mentors and collaborating researchers.

- Collaborate with fellow interns and researchers to advance new ideas in AI systems and architectural design.

**Qualifications**

**Required Qualifications**

- Currently enrolled in a PhD program in Computer Science, Electrical/Computer Engineering, or a related field.

**Other Requirements**

- Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.

- In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.

**Preferred Qualifications**

- Research experience in areas such as computer architecture, AI/ML systems, performance modeling, distributed systems, or hardware–software co-design.

- Programming skills in Python, C/C++ with experience building prototypes, simulators, or performance analysis tools.

- Familiarity with modern AI workloads and/or deep learning frameworks (e.g., PyTorch).

- Demonstrated ability to define and pursue original research directions in AI systems or architecture.

- Ability to collaborate effectively with researchers across disciplines and work in cross-group, cross-cultural environments.

- Proficient communication and presentation skills for sharing complex technical insights.

- Ability to think creatively and approach system and architecture challenges with unconventional or innovative solutions.

- Experience with PyTorch, CUDA, Triton, or performance-simulation tools.

- Background in large-scale system design, AI inference bottleneck analysis, or modeling cost/performance tradeoffs.

- Understanding of accelerator, memory-system, or interconnect design principles.

The base pay range for this internship is USD $6,710 - $13,270 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8,760 - $14,360 per month.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-intern-pay

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about **requesting accommodations. **

Research Intern - AI Systems & Architecture

Subsense is a neurotechnology company developing the first non-surgical, nanoparticle-based bidirectional brain-computer interface. Subsense is partnered with leading global neurological research institutions. The company is venture-backed with its global headquarters in Palo Alto, California.

Industry: Biotechnology Research
Company Size: 2-10 employees

Subsense Inc.

**About Subsense**

Subsense is a deep-tech company developing the world’s first non-surgical, bidirectional brain-computer interface powered by plasmonic and magnetoelectric nanoparticles. Our mission is to unlock direct communication between the human brain and AI - starting with medical applications such as stroke recovery and moving toward cognitive enhancement for healthy users. Headquartered in Palo Alto, Subsense brings together leading scientists and engineers to redefine the future of human–machine interaction.

**The Opportunity**

We are seeking an end-to-end Hardware Engineer with proven, hands-on experience designing and building electromagnetic actuation systems, taking products from concept to prototype through the form of medical devices. You will take the development ownership of the magnetic navigation system, coil systems, and the associated power and control electronics that bring them to life.

This is a high-ownership, strong hands-on engineering role at the intersection of magnetic field generator, electronics, embedded systems, and mechatronics, in a multidisciplinary environment where you will translate concepts into clinically viable hardware.

**Key Responsibilities**

- Develop and build electromagnetic actuation systems for medical applications, including magnetic navigation platforms and electromagnetic coil assemblies

- Design hardware, control loops, and embedded firmware for real-time operation of high-current coil drivers

- Own the prototype development including schematic capture, PCB layout, thermal design, enclosure design, and regulatory compliance (IEC 60601, ISO 13485, EMC)

- Build, bring up, integrate and iterate on prototypes and engineering platforms that leads to a medical device product including hardware, firmware, and control software into cohesive, reliable systems

- Develop and execute engineering tests to validate system and subsystem performance, safety, and electromagnetic behavior

- Support experimental setups, including work in biological and pre-clinical settings

- Analyze results and drive design improvements, optimization, and design-for-manufacture

- Document designs, verification activities, and test results to support regulatory submissions

**What You'll Bring**

**Must-have experience**

- Master's degree in Electrical Engineering, Power Electronics, Mechatronics, Magnetic Field Systems, or a closely related field

- Demonstrated experience taking an electromagnetic actuation or magnetic navigation system from concept to prototype, ideally for medical use

- Strong foundation and hands-on experience in electromagnetic device design and integration such as current control, thermal management, and EMC

- Working knowledge of control systems, signal processing, and closed-loop current/field regulation

- Familiarity with modeling and simulation tools (MATLAB/Simulink, Python, COMSOL, ANSYS, or similar)

- Able to work autonomously and take ownership of a project end-to-end

- A generalist mindset, comfortable switching between hardware design, firmware, and mechanical integration

- Excellent communication skills, with the ability to partner across scientific, engineering, and clinical teams

- Location: Palo Alto and Mountain View lab sites (on-site)

**Strong plus**

- Experience on rapid prototyping and developing medical devices under IEC 60601 / ISO 13485

- Prior work/research experience on magnetic manipulation or magnetically actuated medical device system

- Exposure to engineering in biological or clinical settings

- Startup mindset: adaptable, resourceful, hands-on, and highly execution-focused

~~Subsense is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.~~

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Hardware Engineer, Magnetic Navigation Systems

**Overview**

**About the Role**

- We’re building AI‑first growth and experimentation systems that scale across Microsoft. This role is about designing foundational engineering systems (instrumentation, experimentation, rollout, and decisioning) that let teams ship, measure, learn faster with higher confidence.

- As a Principal Growth Engineer in CoreAI, you’ll drive the technical strategy for how we measure, experiment, and scale AI experiences across world‑class products — while remaining deep in the details and landing meaningful changes daily.

- At this level, impact comes from building repeatable systems and raising the engineering bar: better experiment quality, better telemetry, safer rollouts, and clearer business outcomes — delivered through pragmatic execution and deep technical judgment.

**About CoreAI**

- CoreAI – Platform and Tools is Microsoft’s AI‑first engineering organization, created to build the end‑to‑end Copilot & AI stack powering products like GitHub Copilot and Visual Studio Code.

- Our mission is to empower every developer to shape the future with AI, accelerating how AI applications are built, deployed, and improved at global scale.

**Responsibilities**

**What You’ll Do**

- Own growth through engineering excellence and experimentation — at a systems level

- Architect and build paved paths for online experimentation: standardized metrics, guardrails, analysis workflows, and rollout automation that improve reliability and decision quality across teams

- Lead multi‑workstream initiatives that span teams/products (e.g., unified growth measurement, cross‑surface funnels, experimentation quality improvements)

- Build and evolve core capabilities: telemetry foundations, experiment assignment/targeting, feature flighting, and risk controls (kill‑switches, guardrails, progressive delivery)

- Partner with Product, Data Science, Design, and Research to turn ambiguous goals into shippable, measurable systems

- Stay close to the work: write production code, review designs/PRs, and coach others through architecture and implementation tradeoffs

**What We're Looking For**

- Proven ability to design and ship systemic solutions (platforms, frameworks, primitives) that enable multiple teams to move faster — while remaining deeply hands‑on and detail‑oriented

- Software engineering fundamentals with experience building, shipping, and operating production services or client applications at scale

- Demonstrated technical leadership across architecture, service fundamentals, and quality (reliability, performance, operability, security, and maintainability)

- Track record of translating ambiguous product/business problems into measurable engineering outcomes, with clear hypotheses, instrumentation, and decision criteria

- High data aptitude: comfortable with metrics, telemetry, and experimental analysis — and able to raise the bar on experimentation rigor and interpretation

**Qualifications**

**Required Qualifications**

- Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

**Other Requirements**

- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

**Preferred Qualifications**

- 8+ years building and shipping high‑availability features for multi‑region, globally distributed systems (resiliency, failover, capacity planning)

- 4+ years of experience in experimentation with emphasis on quality: guardrails, bias detection, metric integrity, rollout risk management, and enterprise grade experimentation

- Demonstrated experience building experimentation/measurement platforms (feature flags/flighting, assignment, metrics pipelines, analysis tooling) used by multiple teams

- Demonstrated experience leaning heavily on AI to accelerate engineering velocity, including using AI tools to prototype, implement, debug, and iterate on production systems

- Cross‑team influence: you create clarity, align stakeholders, and drive execution across organizational boundaries — without becoming a “piece‑mover”

Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about **requesting accommodations. **

Principal Software Engineer - Growth (CoreAI)

**Minimum qualifications:**

- Bachelor's degree or equivalent practical experience.

- 5 years of experience in coding, developing test methodologies, writing test plans, creating test cases, and debugging

**Preferred qualifications:**

- Master's or PhD degree in Computer Science, Electrical Engineering, or a related field.

- 3 years of experience in specialized testing such as production testing, system integration testing, etc.

- 1 year of experience working in a structured organization.

**About the job **At Google, our philosophy is build it, break it and then rebuild it better. That thinking is at the core of how we approach testing at Google. Unlike roles with similar names at the other companies, Test Engineers at Google aren't manual testers -- you write scripts to automate testing and create tools so developers can test their own code. As a Test Engineer, you navigate Google's massive codebase, identify weak spots and constantly design better and creative ways to break software and identify potential problems. You'll have a huge impact on the quality of Google's growing suite of products and services. The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.

The US base salary range for this full-time position is $150,000-$218,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

**Responsibilities**

- Utilize or develop automation tools or scripts to improve product and engineering health.

- Develop test plans based on product excellence/test strategy. Conduct test plan reviews with engineers within one or multiple teams.

- Define the test framework, test preconditions, and other test control and reporting functions to enable others to test functionality.

- Improve existing test infrastructure or create new test infrastructure to increase efficiency and productivity in test case development, scheduling, or deployment.

- Participate in product design review with product managers, software/hardware engineers, and other stakeholders to contribute to product design, testability, and implementation.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Senior Software Test Engineer

Stampli is the stress-free finance operations platform. Its AI-driven procure-to-pay solution runs processes from request through payment while remaining fully aligned to the ERP as the system of record, mirroring charts of accounts, entities, dimensions, and approval hierarchies without requiring ERP rework or forcing teams into rigid process models.

Rather than adding AI on top of legacy infrastructures, Stampli has embedded intelligence directly into how work happens since being founded in 2015. Stampli AI operates across the full procure-to-pay lifecycle to extract data, code transactions, route approvals, match invoices, handle exceptions, and preserve institutional knowledge. That intelligence has been trained on billions of real-world transactions across $150 billion in annual spend, continuously improving with every correction across thousands of customer environments.

The platform delivers end-to-end capabilities across procurement, accounts payable, vendor management, payments, and corporate cards. More than 1,800 businesses trust Stampli to process their finances accurately and efficiently. As volume, entities, and complexity increase, Stampli absorbs growth without proportional headcount, driving faster processing, leaner operations, and smarter spending with full visibility, control, and audit-ready accuracy.

Industry: Software Development
Company Size: 201-500 employees

Stampli

We’re looking for a highly analytical and business-oriented Strategic Finance / FP&A Analyst to join our growing finance team. This role will partner closely with leadership across the company to drive strategic planning, financial insights, and operational decision-making.

You’ll play a key role in budgeting, forecasting, performance analysis, and executive reporting while helping scale financial processes in a fast-growing environment. The ideal candidate is a strategic thinker and strong operator, with a proven ability to drive business initiatives through execution while evaluating the business from a high-level, critical perspective.

This role offers the flexibility of working from our Mountain View, CA office three days a week (Tuesday, Wednesday and Thursday), with the option to work remotely for the remainder of the week.

What You Will Do:

- Budgeting & Planning: Assist in the development, monitoring, and management of the annual budget and periodic forecasts. Work closely with department leaders to ensure financial plans are aligned with overall business objectives.

- Financial Modeling & Forecasting: Build, maintain, and refine complex financial operating models to project company performance and evaluate new business opportunities. Conduct scenario analysis to identify potential risks and opportunities in business strategies.

- Data Analysis & Insights: Analyze financial results and key performance indicators (KPIs) to identify trends, variances, and areas for improvement, offering actionable insights to support decision-making.

- Cross-Functional Collaboration: Collaborate with multiple teams to collect and assess relevant data, ensuring business objectives are aligned with broader financial goals. Assist in and execute on ad-hoc requests from business leaders, often requiring the management of multiple stakeholders and aligned outcomes.

- Reporting & Analysis: Provide accurate and timely financial analyses for special projects, strategic initiatives, and ad-hoc requests to support executive decision-making. Drive narrative behind numbers in the analysis of business data and how it drives financial outcomes.

- Process Development & Improvement: Continuously seek opportunities to enhance financial processes, improving data accuracy and operational efficiency.

- Investor & Board Meeting Preparation: Support quarterly Board and investor reporting processes by developing high-quality materials, synthesizing key business insights, and ensuring consistency, accuracy, and executive-level storytelling.

What You Will Bring:

- 2+ years of experience in a private equity or venture capital firm.

- At least 3+ years of strategic finance / FP&A role at a growth-stage company.

- Bachelor's degree in Economics, Finance, Business, or a related field; MBA is a plus.

- Strong financial modeling and Excel skills.

- Self-directed and takes initiative.

- Ability to translate complex financial data into clear business recommendations.

- Strong business partnership and communication skills.

- Excellent communication, interpersonal, and presentation skills.

- Exceptional attention to detail and problem-solving skills.

- AI-forward with strong critical thinking capabilities balancing perspective on signal vs. accuracy.

- Finance professionals who are excited to rethink FP&A through technology, automation, and intelligent decision systems.

You Will Get:

- The flexibility of working from our Mountain View, CA office three days a week (Tuesday, Wednesday, and Thursday), with the option to work remotely for the remainder of the week.

- Full medical, dental, and vision insurance

- 401(k) + employer match

- Access to cutting-edge AI tools, including ChatGPT Enterprise, to enhance productivity, support innovation, and streamline daily workflows

- Opportunities and development for career and personal growth

- Strong and experienced leadership that supports your growth and success

- An open-concept, modern workspace within an inclusive and dynamic scale-up culture

The base salary range for this position is $160K-$180K salary + equity. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience.

Why Join Stampli?:

Stampli is revolutionizing financial operations with AI, far ahead of competitors. For nearly a decade, our AI assistant, Billy, has set the industry standard—processing $105B+ in invoices annually and saving millions of labor hours for 1,800+ customers. More than automation, Billy transforms finance teams by freeing them of manual work.

Our explosive growth places us among the top tech companies at our stage, with exceptionally low churn. After conquering the Accounts Payable space, we're now revolutionizing the entire procure-to-pay (P2P) lifecycle with our new platform that "connects every dot from request to reconciliation."

What sets us apart? We adapt to customers—not the other way around—integrating with 70+ ERPs in weeks, not months. Our customer-first approach extends to our award-winning workplace culture, with vibrant, global offices. We've earned multiple Comparably awards, including Best Company Outlook, Work-Life Balance, Compensation, Happiness, and Perks & Benefits.

Here at Stampli, we build exceptional products with exceptional people. Join our dynamic team where your career will thrive in an environment that champions creativity, collaboration, and growth!

Strategic Finance & FP&A Analyst

FORT’s Robotics Control Platform helps machine builders and users do more with less risk. 

With autonomous systems on the rise at nearly every worksite, FORT helps maximize safe human-machine collaboration with rugged remote controls, emergency stop handsets, mounted and embedded machine controllers, and flexible software for seamless configuration and management. We also offer autonomous system services, with expert guidance on developing field-ready robot safety solutions.

FORT’s vision is to realize a world where automation leads to the betterment of humankind and humans and robots work side by side productively.  

Founded in 2018, FORT serves hundreds of customers including industry leaders in warehousing, agriculture, construction, and many other verticals.

Industry: Automation Machinery Manufacturing
Company Size: 51-200 employees

FORT Robotics

In today's dynamic worksites, seamless collaboration between people and machines is essential. FORT's platform ensures safe, secure, and dynamic control that surpasses legacy systems and next-generation AI capabilities.

While autonomous machines offer significant advantages, they also introduce new safety challenges. FORT addresses these concerns by providing solutions such as the Wireless E-Stop, which allows operators to instantly stop any machine from a safe distance, enhancing safety during emergencies.

Additionally, FORT's Safe Remote Control enables operators to manage heavy machinery remotely, reducing the risk of accidents and improving visibility.

By ensuring communications integrity across any network, FORT empowers customers to protect their most valuable assets—people, data, and machines—ensuring they remain safe and secure.

FORT Robotics is hiring an Account Executive to lead sales efforts across the United States. As a member of the Sales organization, you will play a pivotal role in shaping FORT’s go-to-market strategy for your region. They will be responsible not only for expanding current business but also for identifying and closing new opportunities, with a path to grow into enterprise-level sales roles as FORT scales.

**This is an ideal opportunity for experienced sales professionals with a proven track record selling integrated hardware and software solutions to OEMs, system integrators, and end-users in sectors such as robotics, automation, construction, agriculture, defense, and warehousing. **

Key Responsibilities

- **Territory Ownership: ** Lead all sales activities within your assigned region, balancing new business development and the expansion of existing accounts.

- **Account Growth: ** Manage and grow key strategic accounts, driving deeper adoption of FORT’s safety, connectivity, and control solutions.

- **Sales Strategy: **Develop and execute regional sales strategies to achieve annual bookings and revenue targets.

- **Market Collaboration: ** Partner with marketing to tailor regional campaigns and generate qualified leads within the robotics and automation ecosystem.

- **Pipeline Development: ** Identify, qualify, and close new business with high-potential OEMs, system integrators, and enterprise customers.

- **Customer Engagement: ** Conduct regular account reviews to assess satisfaction, identify growth opportunities, and strengthen relationships.

- **Reporting & Forecasting: **Provide monthly updates on regional pipeline, performance metrics, and strategic progress.

- **Industry Representation: ** Represent FORT Robotics at key regional and national trade shows and industry events.

- **Travel Requirements: ** Approximately 30–40% travel within your assigned region, with periodic trips to FORT’s Philadelphia HQ for team alignment and training.

Qualifications

- 5+ years of experience in account management, business development, or enterprise sales within industrial automation, IoT, robotics, or safety-critical technology sectors.

- Proven success managing large territories and key accounts — including both customer acquisition and growth.

- Strong experience selling integrated hardware/software solutions and communicating complex technical value propositions.

- Demonstrated ability to build and grow enterprise-level relationships and navigate multi-stakeholder sales cycles.

- Consistent record of exceeding quota in complex, technical sales environments.

- Skilled in regional territory planning, pipeline development, and strategic account management.

- Exceptional communication and negotiation skills, with comfort engaging senior executives and technical buyers alike.

- Proficiency with CRM systems, Excel, and sales analytics tools.

- Entrepreneurial, self-directed, and comfortable working independently while collaborating with cross-functional leadership.

Account Executive, USA

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