2027 Summer Intern - AI/ML Engineer, Autonomous Vehicle: Simulation

General Motors LLC; Sunnyvale (CA); Hybrid; USD 90,000 - 107,000; Full time

Benefits offered by this job

Paid US GM Holidays

GM Family First

Vehicle Discount Program

Job summary

General Motors LLC is seeking a Simulation AI/ML Engineer intern to help scale the testing and evaluation of GM’s autonomous vehicle stack. You will partner with senior engineers to design experiments, implement production-ready code, and deliver components of the evaluation strategy for AV programs.

You will work in GM's AV Simulation team to build testing and analysis tools, collaborate with data engineers, and contribute to the release and validation of simulation pipelines.

Qualifications

• Pursuing a Bachelor's Degree in CS/AI/ML/Robotics or related STEM fields.
• Must have at least one additional quarter/semester remaining after internship.
• Solid understanding of modern machine learning techniques.
• Coursework, research or projects in AI/ML.

Responsibilities

• Apply AI/ML techniques to scale testing and classify autonomy performance.
• Collaborate with engineers to integrate ML models into simulation tests and evaluation pipelines.
• Ramp up quickly on the codebase and deliver tasks efficiently with few iterations.
• Develop, test, and deploy production-ready code across simulation infrastructure.
• Define problem statements and implement optimal, tradeoff-aware solutions covering edge cases.
• Collaborate with cross-functional stakeholders and participate in design and code reviews.

Skills

Python

ML techniques

AI/ML coursework

Education

Bachelor's degree in computer science, AI, ML, robotics, engineering or related STEM

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

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Accommodations

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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 Our Culture 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. Explore our global locations We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (beamery.com). As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.