2027 Summer Intern, Onboard Autonomy, Embodied AI (PhD)
Salary not listed • Sunnyvale, California, United States of America • Internship
Posted 8d ago
No salary is listed. Many US states require employers to post a pay range, so ask about pay early.
Job Location
Sunnyvale, California, United States of America
Tech Stack
Remote Work Policy
On-site
Employment Type
Internship
Categories
Machine Learning Engineer
About the job
As an Onboard Autonomy Intern, you will contribute to a focused research or engineering project within the onboard driving stack. You will work with experienced researchers and engineers to prototype, evaluate, and improve algorithms or software using vehicle data, simulation, or production-oriented environments. Potential focus areas include sensor fusion, structured perception, ML planning and trajectory generation, local planning and controls, and guardrails and integration.
Responsibilities
- Prototype and evaluate algorithms for perception, prediction, planning, trajectory generation, controls, or integration.
- Work with real-world driving data and simulation to measure performance and investigate failures.
- Build data-processing, visualization, testing, and evaluation tools.
- Contribute to production-quality software through design reviews, code reviews, automated testing, continuous integration, and documentation.
- Analyze results, improve system performance, collaborate across disciplines, and present technical findings.
Requirements
- Currently pursuing a Ph.D. in Computer Science, Robotics, Electrical or Mechanical Engineering, Controls, Machine Learning, or a related STEM field.
- Experience through coursework, research, projects, or professional work in machine learning, computer vision, robotics, controls, optimization, or autonomous systems.
- Strong Python skills and experience with C++ or another systems programming language.
- Strong analytical, problem-solving, communication, and collaboration skills.
- Availability to work full-time, 40 hours per week, during the internship.
- Must be graduating between December 2027 and June 2028.
Benefits
- Monthly salary of $14,600.
- One-time lump sum taxable stipend payment.
- Paid U.S. GM holidays.
- GM Family First Vehicle Discount Program.
- Potential for growth within GM.
- Intern events and networking opportunities.
- Mentorship and hands-on experience with data and ML foundations behind autonomy.