Job Description
To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
Location s(in priority order):
Sunnyvale, California
Mountain View, California
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.
About the Role:
As a Simulation Test Engineering AI/ML Software Engineer intern, you'll partner with senior engineers to develop, evaluate, and deploy AI/ML tools to scale the development of end-to-end simulation tests, which are used by GM for validation of the autonomous driving software stack. You'll learn about how simulation testing is performed at GM to evaluate AV stack performance, and your work will play a critical role in managing the creation and quality of these simulation tests throughout their lifecycle.
About the Team:
The GM AV Simulation team builds world-class testing and analysis related products and technologies to enable GM to accelerate development of autonomous vehicles as well as general vehicle software development. Our customers range from AV developers understanding the effects of their code on vehicle behavior, data engineers using our data pipelines to build the craziest insights for various evaluation needs, to the release team tracking top-line performance metrics on releases. AV Simulation aims to deliver intuitive user experiences for robotics and AI engineers that accelerate GM towards a driverless future.
What You'll Do:
Quickly ramp up on assigned codebase, product area, and/or system.
Meet with the cross-functional stakeholders working on code in your assigned area.
Develop data pipelines to curate inputs, manage ground truth, and aggregate results across large experiment runs.
Build validation metrics that produce clear pass/fail signals and confidence intervals for ML model behavior in simulation.
Enhance AI/ML validation frameworks and tools for autonomous vehicle software systems.
Leverage vision-language models (VLMs) and large language models (LLMs) to classify autonomy performance, minecritical scenarios, and prioritize validation efforts, integrating human-in-the-loop whereappropriate.
Complete assigned tasks efficiently with few iterations.
Develop, test, and deploy production-ready code across components of our simulation infrastructure.
Identifyproblem statements, outlineoptimalsolutions, accountfor tradeoffs and edge cases.
Participate in code reviews, technical discussions, and designreviews.
Collaborate with cross-functional teams to ensure seamless software integration.
Communicate effectively across multiple stakeholders.
Required Qualifications:
Currently pursuing orin the process of obtainingaPh.D. in Machine Learning, Artificial Intelligence, Computer Science, or a related technical field.
Solid understanding of modern machine learning techniques
Demonstrated coursework, research, or projects in AI/ML.
Strong programming skills in Python.
Able to workfulltime,40 hoursper week.
Preferred Qualifications:
Exposure todeep learning architectures such as Transformers, CNNs, or Diffusion Models.
Hands-on experience with one or more machine learning frameworks (e.g.,PyTorch, TensorFlow, JAX, orKeras).
Experience with robotics, computer vision through projects or research.
Familiarity with multimodal learning or working with sensor data.
Interest in contributing to publications, open-source projects, or patents.
Familiarity with systems programming languages (e.g., C++ or Java) is a plus.
Intent to return todegree-programafter the completion of the internship.
Compensation:
The monthly salary 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 (https://search-careers.gm.com/en/working-at-gm/total-rewards) .
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.
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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 (https://search-careers.gm.com/en/how-we-hire) .
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We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
Our Company (https://search-careers.gm.com/en/working-at-gm/)
Our Culture
How we hire??????? (https://search-careers.gm.com/en/how-we-hire/)
Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
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