2027 Summer Intern, Onboard Autonomy, Embodied AI

Job Description

Work Arrangement:

Hybrid: This internship is categorized ason-site. The selected intern is expected to report to the office 3 days a week.

Location:

Sunnyvale CA

The Onboard Autonomy team develops the real-time intelligence that enables autonomous vehicles to perceive their surroundings plan safe and comfortable behavior and operate reliably on the vehicle. Our work spans sensor fusion structured perception trajectory generation ML planning local planning controls guardrails evaluation and vehicle integration.

We combine 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. 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 Encoders and Fusion: Convert camera lidar radar and other sensor inputs into useful representations for autonomy.
• Structured Perception: Improve object tracking online maps scene understanding and long-tail scenario handling.
• ML Planning and Trajectory Generation: Predict behavior generate trajectories and select safe driving actions.
• Local Planning and Controls: Balance collision avoidance traffic rules vehicle dynamics kinematic feasibility and passenger comfort.
• Guardrails and Integration: Validate and integrate autonomy components across vehicle platforms to support safe reliable operation.

• 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.

• Currently pursuing a Masters or 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.

• 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.
• Must be graduating between December 2027 and June 2028

Compensation:

• The monthly salary range for this role is $11800 $14600 per month
• GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program.

• 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

About GM

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Benefits Overview

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