Autonomous Vehicle Test Engineer

General Motors (GM)

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Yuma, AZ
Salary
$105,550–$140,000 / yr
Employment
Full-time
Posted
1 day ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $170k
This role $123k
$92k $228k
below market most similar roles pay here above market

This role pays less than 76% of similar roles. Most pay $125,975–$214,900 — the blue band above. At the midpoint, this role pays about $123k versus about $170k for comparable roles.

Based on 240 similar postings.

Employer

About General Motors (GM)

General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.

General Motors (GM) currently has 196 open roles on FindRole.

Listed pay typically runs $159,200–$245,000 across 54 roles with salary data.

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At a glance

TL;DR · Autonomous Vehicle Test Engineer

The Autonomous Vehicle Test Engineer serves as the onsite technical lead for a focused closed-course testing operation at the GM Desert Proving Ground. This role involves owning the day-to-day technical execution for a small fleet of autonomous test vehicles, where you will plan and execute software regression, feature validation, and calibration tests. You will troubleshoot issues involving the AV software stack, sensors, localization, and vehicle networks while coordinating with remote engineering teams. Key skills include experience with Linux, Python, SQL, and automotive diagnostic tools like INCA or Vehicle Spy. You will manage vehicle readiness, data handling, and safety protocols in a lean environment. This position is critical for maintaining a dependable, repeatable testing capability during winter seasons to support advanced driving-assistance and autonomous-vehicle development.

What you'll do

  • Lead onsite closed-course testing by translating engineering objectives into executable plans, procedures, and schedules.
  • Plan and execute repeatable software regression, feature validation, calibration, and structured scenario tests.
  • Coordinate daily test sequencing, track reservations, vehicle assignments, and safety reviews with remote stakeholders.
  • Direct and brief operations personnel on task assignments, vehicle preparation, track setup, and run sequencing.
  • Perform first-line technical triage to troubleshoot AV software, sensors, localization, and vehicle network issues.
  • Own the assigned test fleet by managing vehicle configurations, software deployments, and daily readiness checks.
  • Capture and communicate high-quality test results, logs, and evidence to remote engineering teams for release decisions.
  • Develop and maintain onsite documentation for troubleshooting, safety controls, and winter-readiness contingency plans.

What we're looking for

  • Bachelor’s degree in mechanical, electrical, automotive, systems, computer, robotics, aerospace engineering, computer science, or a related technical discipline.
  • At least 3 years of relevant experience in autonomous vehicles, automotive engineering, robotics, aerospace, vehicle testing, systems integration, or test engineering.
  • Experience planning and executing vehicle, robotics, or complex electro-mechanical system tests in a laboratory, proving-ground, or field environment.
  • Experience troubleshooting software-enabled hardware systems using diagnostic information, logs, measurements, observations, and structured problem-solving methods.
  • Ability to read and apply test procedures, requirements, acceptance criteria, operating instructions, and safety controls.
  • Demonstrated ability to work independently, establish priorities, and maintain ownership in an environment with limited onsite support.
  • Ability to provide clear technical direction to operators, coordinators, or contractors during test execution without formal people-management responsibility.
  • Strong written and verbal communication skills, including concise technical reporting and remote collaboration across time zones and functions.
  • Ability to work outdoors in a proving-ground environment with exposure to heat, cold, dust, wind, sun, noise, and vehicle traffic.
  • Ability to perform hands-on vehicle readiness and troubleshooting activities, including inspecting vehicles and handling test equipment or data media.
  • Valid driver’s license and ability to meet GM driver-training, vehicle-qualification, site-access, and safety requirements for closed-course vehicle testing.
  • Ability to work onsite at GM Desert Proving Ground in Yuma, Arizona, and travel approximately 10% as needed.
  • Direct experience testing autonomous vehicles, advanced driver-assistance systems, mobile robots, or other safety-critical autonomous systems (preferred).
  • Experience with closed-course test execution, proving-ground operations, scripted scenario testing, release regression, feature validation, or calibration support (preferred).
  • Experience owning a small test fleet, including vehicle readiness, configuration management, downtime recovery, and maintenance coordination (preferred).
  • Working knowledge of software-defined vehicle concepts, SDV 2.0 architecture, vehicle compute, ECUs, and over-the-air or branch-based software deployment (preferred).
  • Experience with automotive diagnostics, CAN or Ethernet-based vehicle networks, sensors, localization, calibration, and AV system health monitoring (preferred).
  • Familiarity with AV and vehicle tools such as Xray, INCA, Vehicle Spy, Notelogger, SC3 Debug App, Jumpstart, Launchpad, Starfleet, HAT, Drives, Webviz, Netradyne, Grafana, or Looker (preferred).
  • Experience using Linux, command-line tools, Python, SQL, or spreadsheets to inspect logs, automate analysis, or improve test and fleet reporting (preferred).
  • Experience directing small operational teams or contractors in a safety-critical, field, laboratory, or proving-ground environment (preferred).
  • Experience working at a proving ground with limited onsite technical support (preferred).
  • Familiarity with formal issue-management, root-cause, change-control, safety-case, or corrective-action processes (preferred).
  • Experience testing in variable weather, winter conditions, or desert conditions where facility and vehicle readiness affect test capacity (preferred).

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