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**

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



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

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

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

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

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)

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)

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