General Motors

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

General Motors • $97K — $115K *
Sunnyvale, CA 94087In-Person
Transportation
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Currently pursuing a Bachelor's Degree in computer science, AI, ML, robotics, engineering, or a related STEM field.
  • At least one additional quarter/semester of school remaining after 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.

Responsibilities

  • Leverage AI/ML techniques to scale testing and classify autonomy performance.
  • Collaborate with engineers to integrate ML models into simulation tests.
  • Ramp up quickly on the codebase and deliver tasks efficiently.
  • Develop, test, and deploy production-ready code for simulation infrastructure.
  • Define problem statements and implement optimal solutions for edge cases.
  • Collaborate with cross-functional stakeholders and contribute to design and code reviews.

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
Full Job Description
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.

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 General Motors

General Motors Company engages in the manufacture and sale of cars and trucks in the United States, China, Brazil, Germany, the United Kingdom, Canada, and Italy. It offers sedans, crossovers, sport utility vehicles, pick-up trucks, coupes, sports/convertibles and hybrid vehicles, hatchbacks/wagons, and vans, as well as mini cars in India. The company also provides parts and accessories, such as iPod and MP3 compatibility, mobility accessories, performance parts, AC parts and services, and merchandise. In addition, it offers vehicle safety, security, and information services. The company provides used vehicles. It offers its products through dealers and distributors. General Motors Company was formerly known as NGMCO, Inc. and changed its name to General Motors Company in July 2009. The company was incorporated in 2009 and is based in Detroit, Michigan. It operates manufacturing facilities in India, the United States, and Canada. General Motors Company operates as a subsidiary of the United States Department of The Treasury. General Motors led global vehicle sales for 77 consecutive years from 1931 through 2007, longer than any other automaker, and is currently among the world's largest automakers by vehicle unit sales. General Motors acts in most countries outside the USA via wholly-owned subsidiaries but operates in China through 10 joint ventures. GM's OnStar subsidiary provides vehicle safety, security, and information services. In 2009, General Motors shed several brands, closing Saturn, Pontiac, and Hummer, and emerged from a government-backed Chapter 11 reorganization. In 2010, GM made an initial public offering IPOs to date and returned to profitability later that year.

General Motors Careers

Join the dynamic team at General Motors, a global leader in automotive innovation and technology. At General Motors, we offer unparalleled job opportunities that propel your career forward while contributing to a legacy of engineering excellence.

Work You’ll Do

Embark on a career with General Motors to drive the future of mobility. Our team is dedicated to redefining the automotive landscape through innovation and leadership in electric vehicles and sustainable solutions. By joining us, you will be part of a culture that values diversity, teamwork, and continuous professional growth.

Transform Your Career

General Motors is not just a company; it's a community where you can grow your skills alongside the best in the industry. Our leadership is committed to providing every employee—from interns to senior professionals—with opportunities for career advancement, leadership development, and diversity training.

Innovate and Lead

At General Motors, innovation is at the core of everything we do. From research and development to manufacturing, our teams work collaboratively to lead the industry with cutting-edge technologies and sustainable practices. We encourage our employees to think big and push the boundaries of what’s possible.

Join Our Global Team

As part of our global workforce, you will collaborate with talented individuals who are passionate about shaping the future of transportation. General Motors offers a variety of career paths in engineering, design, IT, marketing, and more. With over 155,000 employees worldwide, our network provides expansive opportunities for networking and professional development.

Internship Programs and Employment Benefits

Start your career journey with a General Motors internship, where you can apply your academic knowledge to real-world projects. Our internships provide a robust foundation in the automotive industry, with mentorship from experienced leaders. Full-time employees enjoy a wealth of benefits, including comprehensive health care, retirement plans, and performance bonuses, ensuring that your hard work is rewarded.

Explore Job Opportunities

Whether you’re a seasoned professional or a recent graduate, General Motors offers positions that leverage your unique skills. Our hiring process is designed to identify and nurture talent, focusing on aligning your capabilities with the right opportunities for growth within the company.

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Customize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. Discover the exciting and rewarding career opportunities available at General Motors. Embark on a journey of growth, innovation, and leadership at General Motors. Shape your future in an environment that fosters diversity, learning, and the pursuit of excellence. Join us and redefine the roads of tomorrow.
Learn more about General Motors
Size
157,000 employees
Market Cap
$46.9 billion
Industry
Manufacturing & Automotive
Net Income
$6.4 billion
Founded
1908
5 Year Trend
-3.2%
Revenue
$122.4 billion
NASDAQ
GM
* Ladders Estimates

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