Summer Intern, Onboard Autonomy, Embodied AI

General Motors

. Contribute to a focused research or engineering project within the onboard driving stack.

Posted 10/9/2026internshipSunnyvale • California • United StatesEntry Level💰 $11,800 - $14,600 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Machine Learning, Computer Vision, and Robotics, with strong proficiency in Python and C++. Capable of analyzing performance metrics and improving system functionality through collaboration and technical presentations.

Highest-signal resume keywords

Machine LearningComputer VisionPython ProgrammingC++ ProgrammingAutonomous Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningComputer VisionPython ProgrammingC++ ProgrammingTrajectory OptimizationMotion PlanningDeep LearningReinforcement LearningSimulationData Processing

Soft Skills

Analytical SkillsProblem-SolvingCommunicationCollaboration

Tools & Technologies

PyTorchTensorFlowJAXROSADAS

Industry Keywords

RoboticsControlsVehicle DynamicsSafety-Critical SoftwareSensor Fusion

Tech Stack

Tools & technologies

PythonPyTorchTensorflowC++

About the role

Key responsibilities & impact

Contribute to a focused research or engineering project within the onboard driving stack.
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.
Work with experienced researchers and engineers across sensor fusion, structured perception, ML planning, local planning, controls, guardrails, and vehicle integration.

Requirements

What you’ll need

Currently pursuing a Master’s 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.

Benefits

Comp & perks

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.