Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services - now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.

Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.

Industry: IT Services and IT Consulting
Company Size: 10,001+ employees

Amazon Web Services (AWS)

Savvy Admin PROD

**Description**

Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.

Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Key job responsibilities

-  As a key member of the ASIC design team, you will implement and deliver high performance, area and power efficient RTL to achieve design targets and specifications.

-  Integrate multiple subsystems into top level SOC, ensure correct clock/reset/functional/DFT signal routing

-  Analyze design, microarchitecture or architecture to make trade-offs based on features, power, performance or area requirements.

-  Develop micro-architecture, implement SystemVerilog RTL, and deliver synthesis/timing clean design with constraints.

-  Perform lint and clock domain crossing quality checks on the design.

-  Work with with architects, other designers, verification teams, pre- and post-silicon validation teams, synthesis, timing and back-end teams to accomplish your tasks.

**You Will Thrive In This Role If You**

-  Are familiar with scripting in Python

-  Are proficient with assertions

-  Have good debug skills to analyze RTL test failures

-  Have a "Learn and Be Curious" mindset

**About The Team**

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

**Basic Qualifications**

-  Bachelor's degree in Electrical Engineering or a related field

-  5+ years in RTL design for SOC

-  5+ years in VLSI engineering

-  5+ years with code quality tools including: Spyglass, LINT, or CDC

**Preferred Qualifications**

-  Experience in RTL coding and debug, as well as performance, power, area analysis and trade-offs

-  Master's degree in electrical engineering, computer engineering, or equivalent

-  5+ years of practical semiconductor design work including full-chip and subsystem integration experience

-  Experience with Microarchitecture, SystemVerilog RTL, Assertions, SDC constraints

-  Experience with automation and scripting languages such as Python

-  Familiarity with data path design, interconnects, AXI protocol

-  Good analytical, problem solving, and communication skills

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, Cupertino - 183,000.00 - 247,600.00 USD annually

**Company ** - Annapurna Labs (U.S.) Inc.

Job ID: A3205794

Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs

Aerospike is the real-time database built for infinite scale, speed, and savings. Our customers are ready for what’s next with the lowest latency and the highest throughput data platform. Cloud and AI-forward, we empower leading organizations like Adobe, Airtel, Criteo, DBS Bank, Experian, PayPal, Snap, and Sony Interactive Entertainment. Headquartered in Mountain View, California, our offices are also located in London, Bangalore, and Tel Aviv.

Industry: Software Development
Company Size: 201-500 employees

Aerospike

Aerospike is the real-time database for mission-critical use cases and workloads, including machine learning, generative, and agentic AI. Aerospike powers millions of transactions per second with millisecond latency, at a fraction of the total cost of ownership compared to other databases.

Global leaders, including Adobe, Airtel, Barclays, Criteo, DBS Bank, Experian, Grab, HDFC Bank, PayPal, Sony Interactive Entertainment, The Trade Desk, and Wayfair, rely on Aerospike for customer 360, fraud detection, real-time bidding, profile stores, recommendation engines, and other use cases.

At Aerospike, we dream big and deliver even bigger. Our mission is to **unleash the power of the world’s real-time data ** with a database built for **infinite scale, speed, and sustainability **.

If you're ready to shape the future of data, join us

Senior Product Marketing Manager

**Location: ** San Francisco Bay Area (hybrid) or remote (US / EMEA)

The Moment

Over the past several months, we built a new strategic foundation, redefining Aerospike’s positioning, messaging, and narrative, and establishing an operating model aligned to the company’s next phase of growth.

We are now entering the execution phase.

- Turning strategy into discipline.

- Turning messaging into organizational clarity.

- Turning launches into sustained competitive advantage.

We’re hiring a Senior Product Marketing Manager to help elevate the standard of the function. We are looking for someone who has operated in top-tier SaaS or IaaS environments.

This is a build-for-excellence role focused on refinement, operational rigor, and raising the bar across the organisation.

The Mandate

As Senior Product Marketing Manager, you’ll operate as a senior peer within an ambitious PMM team, strengthening and operationalizing the strategic direction already in motion.

Elevate the Strategy

- Pressure-test and refine positioning as the product evolves

- Ensure clarity is maintained across Product, Sales, and Marketing

- Close the gap between narrative intent and real-world execution

Build World-Class GTM Discipline

- Improve and institutionalize launch processes

- Embed PMM earlier and more structurally in the product lifecycle

- Ensure major releases land with clarity, proof, and commercial impact

- Establish measurable accountability for launch success

Strengthen Competitive Advantage

- Sharpen differentiation in high-stakes competitive environments

- Improve how our Sales team articulates why we win

- Ensure proof consistently reinforces positioning

Raise the Bar for the Function

- Bring experience from high-performing SaaS or IaaS organizations

- Build high-performance processes without introducing bureaucracy

- Lead through influence, clarity, and judgement

- Set a visible standard for excellence across the team

This role does not immediately require people management, it does require leadership, with future management opportunity for those interested.

Who This Is For

We are looking for a senior operator who has seen what exceptional PMM looks like and is motivated to help build that standard here.

You likely have:

- 10–15+ years in Product Marketing or adjacent strategic roles

- Experience in high-growth B2B contexts

- A track record of strengthening positioning, launch rigor, and cross-functional alignment

- Executive presence and the confidence to challenge constructively

- A bias toward clarity, precision, and commercial impact

**Database Experience Is Welcome But Not Required.**

What matters most is intellectual depth, structured thinking, and the hunger to understand complex products and markets.

Why This Role

This role sits at the intersection of strategy and scale.The direction is defined, but the ceiling is much higher. The product is evolving, and GTM must evolve with it.

If you are motivated by building durable excellence rather than simply shipping assets, this is an opportunity to make a visible and lasting impact.

**About Aerospike**

Aerospike was built more than 16 years ago on a distinctive architecture designed for the specialised hardware of its time. While this limited early adoption, large-scale deployments at organisations such as PayPal, The Trade Desk, Yahoo, Nokia, and EWS demonstrated the strength and relevance of the technology.

Today, infrastructure that was once costly and specialised has become standard across modern systems, making Aerospike’s differentiated capabilities broadly accessible.

Aerospike is evolving its positioning to reflect this shift, expanding how we compete and aligning our identity with the demands of modern, data-intensive and AI-driven applications.

The architectural principles that defined Aerospike from the beginning are increasingly foundational in the AI era, where scale, consistency, and performance are requirements. The opportunity now is disciplined execution.

Aerospike is an Equal Opportunity Employer. We are committed to providing an environment free from discrimination on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

Senior Product Marketing Manager

Industry: Computers and Electronics Manufacturing
Company Size: 11-50 employees

Superlinear Computing

Superlinear Computing · Palo Alto, CA · Full-time

Superlinear Computing is a quantum research and infrastructure company headquartered in Palo Alto. We design, deploy, and operate on-premises superconducting QPU systems, apply machine learning to characterize quantum system behavior, and translate those findings into specialized hardware products.

We work at the frontier of quantum hardware and real-world applications, giving researchers, enterprises, and government partners access to quantum capabilities that were previously out of reach. We believe the transition to quantum computing will be defined not just by the machines themselves, but by the infrastructure built around them.

**The Role **

This is the physics role at Superlinear Computing. You will own the physical understanding of every system we operate or build, including superconducting QPUs today, and of entropy sources spanning optical and semiconductor hardware, as our roadmap develops. You work alongside our electronics engineers, setting the physical parameters and theoretical foundations for their implementations. The role is senior, independent, and self-directed. The scope grows with the company.

- Own QPU performance across all systems: calibration, characterization, benchmarking, and diagnosis

- Investigate hardware at the physics level, coherence dynamics, noise sources, gate error mechanisms

- Design and validate entropy sources across hardware modalities: optical, semiconductor, and superconducting

- Define physical figures of merit and characterization targets for ML-driven analysis of quantum output streams

- Collaborate with electronics and software engineers on calibration automation and system integration

- Surface and pursue research directions that emerge from operating real hardware across all system types

**Required **

- PhD in experimental physics or quantum engineering

- Hands-on superconducting qubit characterization: spectroscopy, Rabi, Ramsey, T₁/T₂, randomized benchmarking, two-qubit gate tune-up

- Working knowledge of microwave measurement: IQ mixing, heterodyne readout, pulse shaping

**Preferred **

- Dilution refrigerator experience at the operator level

- Rigetti hardware, pyQuil, or equivalent gate-level SDK familiarity

- Exposure to automated calibration frameworks (QuantrolOx, QUAlibrate, Q-CTRL, or similar)

- Depth in TLS physics, flux noise, readout optimization, or crosstalk characterization

**What We Offer **

- Direct access to on-premises superconducting QPU hardware at the Illinois Quantum and Microelectronics Park, the kind of access most researchers only find at national labs

- Small, rigorous team, your technical judgment shapes outcomes directly

- Competitive salary, equity, and full benefits

- Travel to IQMP as needed for system operation and characterization

This is a senior individual contributor role with real strategic weight. The Principal Physicist is the translation layer between what Superlinear Computing envisions and where the boundaries of the physical world are still being drawn.

Principal Physicist

Nuro exists to better everyday life through robotics.

Founded in 2016, Nuro is a leading AI Robotics company with fully autonomous vehicles on road today in California and Texas. The company’s core technology is the Nuro Driver™, an integrated autonomous driving system consisting of state-of-the-art, AI-first software and automotive grade L4 sense and compute hardware. The first commercial application of the Nuro Driver™ is autonomous goods delivery with our custom, electric, zero-occupant vehicles in partnership with some of the most recognized brands in the world including Uber and FedEx.

Industry: Technology, Information and Internet
Company Size: 501-1,000 employees

Nuro

**Who We Are**

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.

**About The Role**

In this role, you will be a member of the Perception & Behavior team, leveraging the cutting edge of machine learning research to solve challenging real-world robotics problems. This role is focused on bringing advancements in the field of ML and large-scale learning to the AV domain, moving towards a more end-to-end autonomous driving system.

This role requires working with and developing large models for perception and behavior, keeping up-to-date and experimenting with state-of-the-art architectures quickly and efficiently, collaborating with other teams to determine data and infrastructure support needs, and working to improve model optimization and inference speeds. You will use your applied research skills to think through the creation and deployment of these ML models on our autonomous vehicles while working alongside talented researchers in the field. If you love solving fundamental AI challenges and deploying your solutions on robots used in the real world, come join us!

**About The Work**

- Work on and advance the state-of-the-art in end-to-end ML models for AV, from processing raw sensor data (camera, LiDAR, radar) to generating behaviors.

- Experiment quickly and fail fast while leveraging massive real-world driving datasets and large-scale compute infrastructure.

- Research and apply novel solutions to some of the most challenging problems in AVs, including long-tail event handling, safe, verifiable reasoning and comfort in AV.

- Collaborate with autonomy teams to understand top autonomy challenges and design roadmaps for solving them with holistic, learned solutions.

- Work with infrastructure, data and evaluation teams to build effective and efficient data, training, evaluation, and validation pipelines.

- Develop practical, performant solutions and deploy them to the NuroDriver on-road!

**About You**

You have deep expertise and prior experience in some or many of the following areas:

- You have an M.S. or Ph.D. (preferred) in addition to 3+ years of experience focusing on one or more of the following: Computer Science, Artificial Intelligence, Robotics, or a closely related field.

- You have subject matter expertise and research experience in one or more of the following areas: Machine Learning (required), End-to-End Autonomous Driving Models, Imitation Learning, Reinforcement Learning, or World Models.

- You have strong problem-solving and programming skills in Python (required) and C++ (preferred) and utilize coding best practices as a part of your work.

- You are an independent researcher able to push multi-faceted projects forwards, collaborate across organizations, and deliver results in a timely manner.

- You have demonstrated research publications at major conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, CoRL, RSS, ICRA).

- You are a strong culture fit, a great team player, and thrive in a fast-paced research and development environment.

~~At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.~~

~~At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $183,825.00 and $275,975.00/year for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. ~~

Senior ML Research Scientist, End-to-End Autonomous Driving

Latitude AI is a wholly owned subsidiary of Ford Motor Company that develops automated driving technologies. The company was formed in 2023 to reimagine what it’s like to drive, giving drivers time back on their journeys and transforming the driving experience to be safer, less stressful, and more enjoyable for everyone. Headquartered in Pittsburgh with engineering centers in Dearborn, Mich. and Palo Alto, Calif., Latitude employs about 550 people.

Industry: Technology, Information and Internet
Company Size: 501-1,000 employees

Latitude AI

Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone.

When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – **all dedicated to making a real, positive impact on the driving experience for millions of people.**

As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.

**Meet The Team**

The Machine Learning Platform team is the engine driving all ML initiatives at Latitude. We provide the essential services for every ML pipeline, training run, and critical workflow automation across multiple internal teams.

Our flagship product is **BlueMind **, our in-house platform for orchestrating, executing, and rigorously tracking all ML experiments. Every piece of ML training at Latitude runs on BlueMind, which seamlessly integrates with our high-performance computing cluster, dataset versioning tools, and logging/artifact frameworks.

Beyond ML training, we maintain platforms that orchestrate vital business processes, including simulation execution, metrics calculation, bench test execution, map and labeled data production, vehicle/simulation event triage.

Our platforms utilize a powerful combination of cutting-edge off-the-shelf and robust in-house web applications and libraries, all integrated with cloud resources.

We are looking for experienced candidates who thrive in a fast-paced, collaborative, and distributed environment. If you are a senior engineer who is ready to transform customer needs and innovative ideas into impactful new platform features, we want to hear from you.

**What You’ll Do**

- Drive Innovation on the BlueMind ML Platform: Contribute to the development and enhancement of the in-house BlueMind platform, a critical tool for ML experiment tracking and execution. This platform supports the construction and execution of complex ML training and inference workflows on an on-premise HPC cluster, integrating with other internal and off-the-shelf services for dataset versioning, data lineage, artifact tracking, checkpointing, logging, and metrics tracking

- Serve as a Trusted Partner to ML Teams: Regularly engage with and understand the unique needs of diverse ML teams across Latitude (including Scalable Machine Learning, Sensing, Autonomy Behavior, State Estimation, Intelligent Systems Evaluation, Bench Testing, and Virtual Test Ecosystem). You will be instrumental in capturing requirements, authoring robust design documents, implementing high-quality solutions, validating results, and providing critical support for production services

- Tackle Complex, High-Impact Challenges: Apply your experience and creativity to solve large-scale, complex technical problems in a dynamic, fast-paced environment, with a direct focus on accelerating Latitude's product launch goals and core mission

- Develop and Own Full-Stack Features: Design, implement, and enhance a wide range of full-stack capabilities, spanning web APIs/services, React applications and component libraries, custom and generated client libraries, command-line interfaces, Kubernetes resources, cloud architecture, and crucial integration solutions for our on-premise HPC cluster

- Collaborate Across Engineering Boundaries: Work closely with essential supporting teams, including internal Cloud Platform, Product, and Site Reliability teams, as well as external vendors, to ensure the smooth build, deployment, monitoring, and support of our foundational ML platforms

**What You'll Need To Succeed**

- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD)

- 4+ years of full-stack software engineering experience

- Strong communication, problem solving, task prioritization, and teamwork skills

- Solid architecture and design skills

- Experience coding with Python and familiarity with popular python tools and frameworks such as poetry and fast api

- Some knowledge or pytorch, ddp, ray and overall distributed machine learning

- Some knowledge of distributed file systems

- Experience with SQL databases

- Experience with cloud infrastructure (e.g.: AWS, GCP, Terraform, Kubernetes)

- Experience with high performance computing environments

**Nice To Have**

- Experience with workflow automation frameworks (e.g. Airflow, Dagster, Camunda)

- Experience with Java and/or other JVM-based languages

- Experience with TypeScript and/or JavaScript, Node.js, and frameworks (e.g.: React, Redux, MUI)

- Experience with Bazel, Gradle, and/or other build tools

**What We Offer You**

- Competitive compensation packages

- High-quality individual and family medical, dental, and vision insurance

- Health savings account with available employer match

- Employer-matched 401(k) retirement plan with immediate vesting

- Employer-paid group term life insurance and the option to elect voluntary life insurance

- Paid parental leave

- Paid medical leave

- Unlimited vacation

- 15 paid holidays

- Daily lunches, snacks, and beverages available in all office locations

- Pre-tax spending accounts for healthcare and dependent care expenses

- Pre-tax commuter benefits

- Monthly wellness stipend

- Adoption/Surrogacy support program

- Backup child and elder care program

- Professional development reimbursement

- Employee assistance program

- Discounted programs that include legal services, identity theft protection, pet insurance, and more

- Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives

Learn more about Latitude’s team, mission and career opportunities at lat.ai!

The expected base salary range for this full-time position in California is $179,200 - $268,800 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.

Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.

Senior Software Engineer - ML Platform

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