Software Verification Engineer, AV Platform (Early Career)
General Motors
ADAS/AV Platform Software Verification Engineer
The Role General Motors is a global leader in advanced driver assistance. With Super Cruise hands-free technology in more than 500,000 Super Cruise-equipped vehicles on the road, and over 700 million hands-free miles driven, GM is proving that automation can be trusted, intuitive, and helpful. GM has the global reach to bring cutting-edge advances to everyday drivers at an unprecedented scale. Join us to help deliver the next generation of safe and delightful personal autonomous vehicle experiences.
About the Organization
At AV (Autonomous Vehicles) Software Organization within General Motors, we are working on developing cutting-edge ADAS and AV features for next-generation vehicles. As the ADAS/AV Platform Software Verification Engineer, you will play a crucial role in defining, implementing, and optimizing system testing to ensure the quality, safety, and reliability of the ADAS platform software.
This is an early-career/new graduate role designed for candidates who have recently or will be completing their degree by June 2026.
What You'll Do (Responsibilities)
- Support the design, implementation, and execution of software verification for the AV/ADAS platform across HIL, SIL, and VIL environments.
- Run and monitor system and integration tests, analyze diagnostics from a full-vehicle perspective, and help triage and debug AV Platform software issues.
- Assist in building, maintaining, and improving test environments and automation frameworks to increase coverage, reliability, and execution speed.
- Help ensure tests align with relevant safety and regulatory standards (e.g., ISO 26262, SOTIF, FMVSS 111, FMVSS 127) and contribute to improving test metrics and coverage.
- Collaborate with Software Infrastructure, application, and Hardware teams to reproduce issues, gather logs, and support root-cause analysis for Linux/QNX-based AV Platform software.
- Participate in failure analysis activities (e.g., FMEA, root-cause investigations using Ishikawa/Fishbone analysis, A-B-A testing) and document findings in a clear, structured way.
- Contribute to continuous improvement of test cases, tooling, and processes by incorporating feedback from senior engineers and cross-functional partners.
Required Qualifications (Minimum)
- Currently pursuing, or recently completed, a Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field
- Experience with at least one programming language such as Python, C, or C++, through coursework, internships, research, or personal projects
- Basic understanding of software testing concepts such as test cases, regression testing, and test automation
- Familiarity with Linux development environments through classwork, labs, internships, or projects
- Exposure to vehicle or networked systems, including basic knowledge of CAN or Ethernet
- Strong problem-solving and analytical skills
- Clear written and verbal communication skills and the ability to work well on cross-functional teams
What Will Give You a Competitive Edge (Preferred Qualifications)
- Hands-on experience with HIL/SIL/VIL test environments, simulation benches, or lab-based embedded test setups.
- Experience developing test automation using Python or similar scripting languages; familiarity with frameworks such as Robot Framework, or tools like CAPL and Vehicle Spy.
- Exposure to embedded Linux or QNX-based systems, and/or real-time operating systems (RTOS); familiarity with ROS in robotics or autonomy projects is a plus.
- Experience with network and vehicle debugging tools such as Wireshark, CANoe/CANalyzer, INCA, or similar instrumentation platforms.
- Basic understanding of automotive communication protocols and diagnostics, such as CAN, Ethernet, SOME/IP, DDS, and UDS/ISO 14229.
- Familiarity with functional safety and safety-of-the-intended-functionality (SOTIF) concepts or standards (e.g., ISO 26262, SOTIF), gained through coursework or projects.
- Internship, research, or project experience in automotive, robotics, autonomy, or real-time systems
Additional Requirements
- May require a valid driver's license and the ability to operate test vehicles as part of certain validation activities.
- Occasional travel between Milford Proving Ground and GM Global Technical Center – Warren and/or other GM sites may be required for bench, lab, or vehicle testing.
- Ability to work in lab, bench, and vehicle environments, including time on or around test vehicles and HIL/VIL benches.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
*This job may be eligible for relocation benefits
*This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week (or other frequency dictated by their manager)
$189k - $290.7k
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