Senior ML Accelerator Engineer - GPU job opportunity at General Motors.

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DatePosted 4 Days Ago bot
General Motors Senior ML Accelerator Engineer - GPU
Experience: 3-years
Pattern: full-time
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degreePhD
loacation Sunnyvale, California, United States of America, United States Of America
loacation Sunnyvale, Cal..........United States Of America

Job Description About the Mission   GM’s vision of Zero Crashes, Zero Emissions, and Zero Congestion guides everything we do in autonomous and assisted driving. The AV organization is building advanced automated driving technologies, including Level 4–capable fully self-driving systems, to move us toward safer, more sustainable, and more accessible mobility.   For the AI Kernels & Compilers team, that mission shows up in the details: turning cutting‑edge  perception , prediction, and planning research into production‑grade software that can run efficiently and reliably on real vehicles at scale. We pioneer  new approaches  to model export, kernel development, and performance engineering so that every cycle on our accelerators translates into better situational awareness, faster reaction times, and more robust behavior on the road.   If you want your compiler and kernels  work  to directly influence how automated vehicles understand and react to the world — while  operating  at the safety,  reliability  and scale of a company like GM — this is where that impact becomes real.   About the Team   The   AI Kernels   team builds high‑performance GPU kernels and custom libraries that sit at the heart of   our   on‑vehicle ML inference for   ADAS and autonomous driving . We own making core AI workloads faster, more reliable, and easier to   maintain   and deploy   on real cars, under real‑world constraints.   That means:   Designing and implementing custom operators when vendor libraries hit their limits   Integrating those kernels deep into our ML runtime stack   Debugging and tuning GPU performance across the AV software stack, often on hardware‑in‑the‑loop   We partner closely with   AI Solutions, AI Compilers, AI Architecture, and AI Tooling   to ensure models deploy efficiently to the car while consistently meeting   strict latency, throughput, and reliability targets . If you enjoy pushing GPUs to their limits and seeing your work directly   impact   how autonomous vehicles perceive and act in the world, this is the team for you.   What  you’ll  be doing (Responsibilities)   Design, implement, benchmark, and iterate on CUDA-based kernels and custom operators to squeeze   every last   drop of performance out of on-vehicle inference workloads.   Build and improve tooling and infrastructure that make it easier to profile, debug, and   validate   CUDA kernels and accelerator-backend code across the AV stack.   Partner with AI Solutions, Compilers, and Architecture to translate model and system requirements into concrete kernel roadmaps, priorities, and project plans.   Collaborate with cross-functional teams (compiler, performance tooling, runtime, deployment solutions) to deliver reusable, reliable, high-performance libraries into production.   Maintain high   technology standards, methodologies, processes, and guidelines for GPU kernel development and performance engineering   through code review.   Manage relationships with internal customers to ensure our kernels and libraries meet real-world   needs   Your Skills & Abilities (Required Qualifications)   Minimum   3+ years of relevant industry experience or equivalent experience   BS, MS or PhD in CS, or related technical field   Excellent GPU programming skills in CUDA, with a thorough understanding of parallel programming patterns and GPU architecture.   Hands-on experience benchmarking, profiling,   debugging   and   optimizing   accelerator libraries and kernels to extract   optimal   performance   using the   NSight   suite of tools or similar.   Strong background in software architecture, library   design,   and design patterns.   Strong C++ programming skills with the ability to feel comfortable in large codebases.   Solid background in system performance, high performance   computing   and/or architecture-aware optimizations .     Strong communication   skills and the ability to work collaboratively within a team   Excellent analytical and problem-solving skills   What Will Give You  A  Competitive Edge (Preferred Qualifications)   Experience with   tensor core programming,   CUTLASS and/or   CuTe   Experience with   ML model architectures,   in particular   transformer-based   E xperience with low latency   or   real time systems   Experience with   lower levels   of an accelerator software stack ( i.e.   drivers, runtimes, and   compilers )   Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.   The salary range for this role: is $128,700 to $261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.  Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.  Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. #GM-AV-1 



 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us   We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources . Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.  We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire . Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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