2026 Summer Intern – Machine Learning Systems Engineer – Autonomous Driving

About the Role : As an intern, you will help develop andoptimizeour AI training platform by improving data processing pipelines, accelerating model training and inference workflows,and/or enhancingtesting infrastructure likeCarbench/HIL. You will support tool development, instrumentation, and systemmonitoringto boost reliability, reduce latency, and increase iteration speed for advancing autonomous driving performance.WhatYou’llDo:Develop scalable infrastructure and tools to support model training, regression, and rules-based models.Suggest,collectand 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.RequiredQualifications:Currentlyenrolled in a full-time, degree-seeking program andin the process of obtainingaBachelor'sdegree 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 communicationskills with experience collaborating across cross-functional teamsAble to work fulltime,40 hoursper weekPreferred QualificationsIntent to return todegree-program after the completion of the internship.Demonstrated software engineer experience via an internship, work experience, codingcompetitions.FamiliaritywithAI –assisted engineeringtools (e.g., for code generation, model analysis, or experiment planning) to enhanceproductivityandunderstanding ofML 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 computervisionExperience with distributed systems (e.g., Spark, Ray, Kubernetes,Slurm)Experience inCUDA, OpenCL,Tritonor other accelerator programminglanguage.Intent to return todegree-program after the completion of the internship.Graduating between December 2026 and August 2027.Compensation:The monthly salary range for this role is$7,300 - $8,600 per month.GM will provide aone-time lump sum taxable stipend payment to eligible students selected for the 2026Student Program.Whatyou’llget from us (Benefits):Paid US GM HolidaysGM Family First Vehicle Discount ProgramResult-based potential for growth within GM About GMOur 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 UsWe 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 OverviewFrom 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.AccommodationsGeneral 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, emailus 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.