2026 Summer Intern - Machine Learning Engineer, AI Kernels (PhD)   job opportunity at General Motors.

Home Jobs In United States Of America Tag: AI Kernels (PhD) 2026 Summer Intern - Machine Learning Engineer, AI Kernels (PhD)   position at General Motors


DatePosted 7 Days Ago bot
General Motors 2026 Summer Intern - Machine Learning Engineer, AI Kernels (PhD)  
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AI Kernels (PhD)

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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 team   We focus on developing high-performance GPU kernels and custom libraries that power   state-of-the-art   ML models’ on-vehicle inference. Our charter is to make core AI workloads faster, more reliable, and easier to   maintain   and deploy. That includes building custom operators when vendor libraries fall short, integrating those kernels into our ML runtime stack, and   consulting on   performance and CUDA debugging across the AV software stack. We collaborate closely with AI Solutions, AI Compilers, AI Architecture, and AI Tooling to ensure models can be deployed efficiently to the car while meeting strict latency and reliability targets.   About the role   As an AI Kernels intern,   you’ll   work alongside experienced kernel, compiler, and performance engineers on real production problems—profiling GPU workloads, experimenting with new kernel implementations, and strengthening the performance and robustness of the AI stack behind GM’s next-generation autonomous and assisted driving features.   You’ll   design, implement, and benchmark CUDA kernels and   supporting   infrastructure, contributing to the GPU kernels and custom libraries that improve performance, reliability, and developer experience across our ML stack.   What   You’ll   Do:   Design and   optimize   GPU kernels and supporting libraries   for core model operations used in on-vehicle inference.   Build and improve tooling and infrastructure   that make it easier to profile, debug, and   validate   CUDA kernels and accelerator-backed code.   Help define and refine kernel requirements and priorities   by working with partners in AI Solutions, Compilers, and Architecture, and turning them into concrete tasks and project plans.   Implement, benchmark, and iterate on CUDA-based solutions   to get the most out of modern GPU hardware for real production workloads.   Take on team-specific projects, which may include performance investigations, reliability improvements, or prototype explorations depending on current priorities.   Required   Qualifications     Currently enrolled in a PhD program in Computer Science, Computer Engineering, Electrical Engineering, Applied Math / Computational   Science   or   a related   STEM field.   Availability to work full-time ( 40 hours   per week) during the internship period.   Demonstrated coursework, research, or projects in GPU programming, parallel computing, high-performance computing (HPC), machine learning systems, or computer architecture.   Strong programming skills in C++   Preferred Qualifications    Experience with CUDA/CUTLASS/ CuTe   or other accelerator programming framework, such as OpenCL.   Familiarity with   GPU performance profiling tools   (e.g., Nsight Systems, Nsight Compute,   nvprof ).   Experience with   mixed-precision computation   (FP16 / INT8) and performance–accuracy tradeoffs.   Knowledge of   GPU-accelerated libraries   (e.g.,   cu b ,   cuBLAS ,   cuDNN ,   TensorRT ) and when to use custom kernels vs. library calls.   Background in   parallel algorithms, numerical methods, or high-performance computing (HPC) .   Prior   research , publications, or coursework involving GPU acceleration or systems-level optimization.   Location:   Sunnyvale, CA      Work Arrangement:    Hybrid: This internship is categorized as   hybrid . The selected intern is expected to report to the office up to three times per week or as   determined   by the team.       Compensation:    The monthly salary range for this role is $ 11,100 – $13,100   GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program.   To help   facilitate   administration of   the   relocation   stipend   if you are selected, please apply using the permanent address you would move from.     What   you’ll   get from us (Benefits):   Paid US GM Holidays   GM Family First Vehicle Discount Program   Result-based potential for growth within GM   Intern events to network with company leaders and peers       



 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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