Software Verification Engineer, AV Platform (Early Career)

Job Description

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 August 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) 

• 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)







About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

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All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

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