Autonomy Systems Intern: Perception & Planning (Hybrid)

General Motors LLC; Sunnyvale (CA); Hybrid; USD 132,000 - 163,000; Full time

Benefits offered by this job

Paid U.S. GM holidays

Mentorship and hands-on autonomy学习

Growth opportunities

Job summary

General Motors is offering an Onboard Autonomy Intern role in Sunnyvale, CA, with hybrid work requiring three days on-site per week. You will collaborate with senior researchers to prototype and evaluate algorithms for perception, planning, and control using vehicle data and simulations.

The internship emphasizes production-oriented software development, data tooling, and cross-disciplinary collaboration, with mentorship and hands‑on experience in autonomy foundations.

Qualifications

• Pursuing a Master’s or Ph.D. in a relevant STEM field.
• Experience in machine learning, computer vision, robotics, or autonomous systems.
• Strong Python skills and experience with C++ or another systems language.
• Excellent communication and collaboration abilities.
• Available to work full-time, 40 hours per week.

Responsibilities

• Prototype and evaluate algorithms for perception, prediction, planning, or control.
• Work with real-world driving data and simulation to measure performance.
• Build data-processing, visualization, testing, and evaluation tools.
• Contribute to production-quality software through code reviews and testing.
• Analyze results and present technical findings.

Skills

Python

C++

Analytical skills

Communication

Collaboration

Problem-solving

40 hours/week

Education

Master’s or Ph.D. in Computer Science, Robotics, Electrical or Mechanical Engineering, Controls, Machine Learning, or related STEM field

Tools

PyTorch

TensorFlow

ROS

JAX

CUDA

Job description

General Motors is offering an Onboard Autonomy Intern role in Sunnyvale, CA, with hybrid work requiring three days on-site per week. You will collaborate with senior researchers to prototype and evaluate algorithms for perception, planning, and control using vehicle data and simulations.

The internship emphasizes production-oriented software development, data tooling, and cross-disciplinary collaboration, with mentorship and hands‑on experience in autonomy foundations.