Drimva

General Motors

Autonomous Vehicle Test Engineer

$106K–$140K

Yuma, Arizona, United States of America · On-site · Full-time · Posted Oct 26, 2026

Experience
At least 3 years of relevant experience; the posting lists several qualifying fields.
Education
Bachelor’s degree in mechanical, electrical, automotive, systems, computer, robotics, aerospace engineering, computer science, or a related technical discipline.

About the job

Lead onsite closed-course testing at GM’s Yuma proving ground, maintaining a small autonomous-vehicle fleet, troubleshooting issues, and delivering reliable test results and operations.

What you'll do

  • Plan and execute regression, feature, behavior, calibration, and data-collection tests; coordinate test schedules, personnel, and safety readiness.
  • Own readiness and configuration of approximately two to three test vehicles; perform first-line troubleshooting and escalate issues when needed.
  • Capture and assess test data, report outcomes, and improve Yuma’s repeatable testing procedures and operating model.

What they ask for

  • Bachelor’s degree in a listed or related technical discipline.
  • At least 3 years of relevant experience in autonomous vehicles, automotive engineering, robotics, aerospace, vehicle testing, systems integration, test engineering, or related technical operations.
  • Experience planning and executing tests of vehicles, robotics, or complex electro-mechanical systems, and troubleshooting software-enabled hardware systems.
  • Ability to work onsite in Yuma, travel approximately 10% as needed, and hold a valid driver’s license while meeting applicable GM driver-training, vehicle-qualification, site-access, and safety requirements.

Nice to have

  • Direct experience testing autonomous vehicles, ADAS, mobile robots, or other safety-critical autonomous systems.
  • Experience with proving-ground operations, test-fleet ownership, automotive diagnostics, or tools and methods such as Linux, Python, or SQL.

Pay

$105,550 to $140,000 USD base salary

Tools

Jira, Confluence, Xray, Slack, Linux, Python, SQL, CAN

AI focus

Test and validate autonomous-vehicle capabilities, including software regression, feature and behavior validation, fault response, and structured scenario testing.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)