2026 Summer Intern – AI/ML Software Engineering Intern - Simulation Core (PhD) job opportunity at General Motors.

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General Motors 2026 Summer Intern – AI/ML Software Engineering Intern - Simulation Core (PhD)
Experience: General
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 To help   facilitate   administration of relocation benefits if you are selected, 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 s:   Sunnyvale, California    Mountain View , California     About the Team:    The Simulation group builds artificial intelligence (AI) and machine learning (ML) models that power realistic environments for testing and training advanced systems. These simulations generate diverse scenarios that help   validate   and improve decision-making policies across robotics, autonomous systems, and other AI-driven applications.   Think of Simulation as a virtual training ground where complex systems learn to   operate   safely and effectively. The team develops AI/ML models that control simulated entities—whether vehicles, robots, or other agents—so they interact in realistic and dynamic ways.   Our technology stack includes generative models, reinforcement learning (RL), and other ML approaches. The Simulation group collaborates closely with teams in behaviors,   perception , safety engineering, and infrastructure to deliver scalable, high-fidelity environments.   As an intern,   you’ll   gain hands-on experience in AI/ML model development, training loop optimization, and simulation infrastructure design, while learning from experienced engineers in   the robotics   and AI space.       What   You’ll   Do:   Assist   in developing ML and RL models, including training loop design and optimization.   Help streamline integration and contribute to ML infrastructure, metrics, and data pipelines.   Collaborate with the AI/ML team to support rapid experimentation and deployment in simulation environments.   Apply software engineering skills to accelerate project timelines in areas such as robotics, autonomous systems, and simulation frameworks.   Learn how simulation technologies are applied to real-world AI and ML systems.   Participate in code reviews, technical discussions, and design resign   Collaborate with cross-functional teams including hardware, systems, test, and safety to ensure seamless software integration   Communicate effectively across multiple stakeholders     Required   Qualifications :   We’re   looking for students who are eager to learn and contribute. What you need is curiosity, strong fundamentals, and a passion for AI and simulation.   Currently pursuing a PhD in Computer Science, Robotics, Electrical Engineering, or a related field.   Familiarity with machine learning concepts and frameworks (e.g., TensorFlow,   PyTorch ).   Strong programming skills in Python or C++.   Exposure to   reinforcement   learning, generative models, or GPU programming.   Interest   in simulation, robotics, or autonomous systems.   Able to work   fulltime ,   40 hours   per week.     Preferred Qualifications :   Demonstrated software engineering experience from   previous   internships , work experience, coding competitions, or publications .   Experience with projects involving ML pipelines, optimization, or robotics competitions.   Intent to return to degree-program after the completion of the internship/co-op .     Compensation:   The monthly salary range for this role is $12,300 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   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 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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