Job Description

About the role:

As a Simulation AI/ML Engineer intern, you’ll partner with senior engineers to deliver key components of the evaluation strategy for GM’s autonomous vehicle programs. In this role, you will scale the testing and evaluation of our self-driving stack by applying AI/ML techniques to software solutions. You will design, perform experiments, and deploy these solutions as production-ready code. The work you do will be directly applied to the iteration and validation of the self-driving stack.

About the team:

The GM AV Simulation team builds world-class testing and analysis related products and technologies to enable GM to accelerate the 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 generate meaningful 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:

Leverage AI/ML techniques to scale testing, classify autonomy performance, and mine critical scenarios, integrating human-in-the-loop where appropriate.
Collaborate with engineers to integrate ML models into simulation tests and evaluation pipelines.
Ramp up quickly on the codebase and domain; deliver assigned tasks efficiently with few iterations.
Develop, test, and deploy production-ready code across components of our simulation infrastructure.
Define problem statements and implement optimal, tradeoff-aware solutions that cover edge cases.
Collaborate with cross-functional stakeholders, contribute to design and code reviews, and ensure seamless integration through clear communication.

Required Qualifications:

Currently pursuing a Bachelor's Degree in computer science, artificial intelligence, machine learning, robotics, engineering, or a related STEM field.
Must have at least one additional quarter/semester of school remaining following the completion of the internship
Solid understanding of modern machine learning techniques
Demonstrated coursework, research, or projects in AI/ML.
Strong programming skills in Python.
Able to work full-time, 40 hours per week.

Preferred Qualifications:

Candidates are not expected to meet every qualification listed below. Depending on the needs of a specific Autonomous Vehicles team, a combination of these skills and areas of knowledge may be relevant.
Currently pursuing a master's degree in computer science, artificial intelligence, machine learning, robotics, engineering, or a related STEM field.
Exposure to deep learning architectures such as Transformers, CNNs, or diffusion models.
Hands-on experience with one or more machine learning frameworks, such as PyTorch, TensorFlow, JAX, or Keras.
Background in robotics and computer vision gained through projects or research.
Familiarity with multimodal learning or working with sensor data.
Interest in contributing to publications, open-source projects, or patents.
Knowledge of systems programming languages, such as C++ or Java, is a plus.
Intent to return to a degree program after completing the internship.

Compensation:
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

The salary range for this role is $8,100-$9,600 per month. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program - to help facilitate administration of relocation benefits, 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

Work Arrangement:

Start dates for this internship role are May 24th and June 14th of 2027.
Assignments will be based on team placement to ensure interns are located with their working team and leader.
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to their designated work location three times per week, at minimum.

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

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