2026 Summer Intern – Machine Learning Systems Engineer – Autonomous Driving (Bachelor's Degree) job opportunity at General Motors.

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General Motors 2026 Summer Intern – Machine Learning Systems Engineer – Autonomous Driving (Bachelor's Degree)
Experience: General
Pattern: full-time
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loacation Sunnyvale, California, United States of America, United States Of America
loacation Sunnyvale, Cal..........United States Of America

Job Description GM does not provide immigration-related sponsorship for this role. Do not apply for this role if   you will   need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)   To help facilitate administration of the relocation   stipend if you are selected and eligible,   please apply using the permanent address you would move from. 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.     Location:   San Francisco, California   Sunnyvale, California    M ountain   View, California   Seattle, Washington       About the Team :     We are building   a state-of-the-art   AI training platform   in   close collaborati on   with model teams to deliver Autonomous car milestones, maximiz ing   MFU and iteration speed, and enhanc ing   inference systems .   We   are augmenting   training,   evaluation   and   the   deployment loop with   a data flywheel to   validate   performance and continuously improve Autonomous   driving   and Active Safety.   W e accelerate   compute   performance through architectural changes and low-level optimizations, informed by advanced   Carbench /HIL platforms, AI tooling and workflows and instrumentation built in-house.   We   streamlin e   compiler/build and   modelbench   performance; enhance data processing, preprocessing, and   bulk inference ; and improve monitoring   and   availability to increase velocity and quality.     About the Role:    As an intern, you will help develop and   optimize   our AI training platform by improving data processing pipelines, accelerating model training and inference workflows,   and /   or    enhancing   testing infrastructure like   Carbench /HIL. You will support tool development, instrumentation, and system   monitoring   to boost reliability, reduce latency, and increase iteration speed for advancing autonomous driving performance.     What   You’ll   Do:   Develop scalable infrastructure and tools to support model training , regression, and rules-based models .   Suggest,   collect   and synthesize requirements and create effective feature roadmap .   Code deliverables in tandem with the engineering team .   Adapt standard machine learning methods to best exploit modern parallel environments ( e.g.   distributed clusters, multicore SMP, and GPU) .   Perform specific responsibilities which vary by team .     Required   Qualifications :   Currently   enrolled in a full-time, degree-seeking program and   in the process of obtaining   a   B achelor's   degree in computer science or a related technical field .   Research and/or work experience in a relevant field, such as machine learning, deep learning, reinforcement learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, or computer vision .   Experience in systems software or algorithms .   Experience with modern object-oriented programming languages (e.g., Java, C++, Python)  .    Strong communication   skills with experience collaborating across cross-functional teams   Able to work fulltime,   40 hours   per week       Preferred Qualifications   Intent to return to   degree -program after the completion of the internship .   Demonstrated software engineer experience via an internship, work experience , coding   competitions .   Familiarity   with   AI – assisted engineering   tools (e. g., for code generati on , model analysis, or experiment planning) to enhance   productivity   and   underst anding of   ML systems.    Demonstrated creativity and quick problem - solving capabilities .   Research and/or work experience in a relevant field, such as machine learning, deep learning, reinforcement learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, or computer   vision   Experience with distributed systems (e.g., Spark, Ray, Kubernetes,   Slurm )   Experience in   CUDA, OpenCL,   Triton   or other accelerator programming   language .   Intent to return to   degree -program after the completion of the internship.   G raduating between December 2026 and August 202 7 .   Compensation:   The monthly salary range for this role is   $7,300 - $8,600 per month.   GM will provide a   one-time lump sum taxable stipend payment to eligible students selected for the 2026   Student Program.     What   you’ll   get from us (Benefits):   Paid US GM Holidays   GM Family First Vehicle Discount Program   Result-based potential for growth within GM     



 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 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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