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   t est 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   n etwork and vehicle debugging tools   such as Wireshark,   CANoe /CANa