2027 Summer Intern, Onboard Autonomy, Embodied AI (Masters)

General Motors • Sunnyvale, CA

1d • Hybrid

About The Position

The Onboard Autonomy team develops real-time intelligence that enables autonomous vehicles to perceive their surroundings, plan safe and comfortable behavior, and operate reliably on the vehicle. Its work spans sensor fusion, structured perception, trajectory generation, ML planning, local planning, controls, guardrails, evaluation, and vehicle integration. The team combines machine learning, robotics, optimization, and software engineering to build production-oriented autonomy systems that operate in real time and handle challenging driving scenarios.

As an Onboard Autonomy Intern, you will contribute to a focused research or engineering project within the onboard driving stack, working 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 encoders and fusion; structured perception; ML planning and trajectory generation; local planning and controls; and guardrails and integration.

This is a hybrid internship categorized as on-site, with the selected intern expected to report to the Sunnyvale, California office three days per week. The internship requires full-time availability of 40 hours per week. Applicants must be pursuing a master's degree and must be graduating between December 2027 and June 2028.

Requirements

• Currently pursuing a master's degree 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.

Nice To Haves

• Experience with autonomous vehicles, ADAS, robotics, or ROS.
• Experience with PyTorch, TensorFlow, JAX, deep learning, transformers, multimodal learning, reinforcement learning, imitation learning, or trajectory prediction.
• Background in vehicle dynamics, feedback control, trajectory optimization, motion planning, safety-critical software, simulation, closed-loop evaluation, sensor data, large-scale datasets, or distributed computing.
• Intent to return to a degree program after the internship or co-op.

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.

Benefits

• Paid U.S. GM holidays.
• GM Family First Vehicle Discount Program.
• Potential for growth within GM based on performance and business needs.
• Intern events and opportunities to network with company leaders and peers.
• Mentorship and hands-on experience with the data and ML foundations behind autonomy.
• One-time lump sum taxable stipend payment for eligible students selected for the 2027 Student Program.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern