Software Verification Engineer, AV Platform (Early Career)

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   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.

(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   n etwork and vehicle debugging tools   such as Wireshark,   CANoe /CANalyzer, INCA, or similar instrumentation platforms.   Basic understanding of   automotive communication protocols and diagnostics ,   such as