Staff Software, ADAS Platform Test Architect

Job Description

This role is categorized as hybrid. This means the successful candidate is expected to report to Warren or Milford, Michigan three times per week, at minimum. 

The Role:   

At ADAS/AD (Advanced Driver Assistance Systems and Automated Driving) Software Organization within General Motors, we are working on developing cutting-edge ADAS features for next-generation vehicles. 

As the ADAS/AD Platform Test Architect, you will play a crucial role in defining, implementing, and optimizing the system testing strategy while supporting business-related test activities to ensure the quality, safety, and reliability of the ADAS platform software. 

• Define and implement a scalable, high-coverage software test strategy for the ADAS platform. 

• Analyze diagnostics from a full-vehicle perspective to support efficient triaging and debugging related to ADAS Platform Software. 

• Recommend and contribute to ADAS Platform software quality improvement activities across all assigned applications while ensuring compliance with Software Quality Management Processes. 

• Ensure compliance with legal standards and safety requirements, including ISO 26262, SOTIF, FMVSS 111, and FMVSS 127, while improving test coverage and metrics. 

• Collaborate with Software Infra and application teams to develop new test cases, leveraging expertise in Service-Oriented Architecture, Middleware communication (Pub Sub/DDS/Subspace), diagnostics, Linux OS and QNX OS. 

• Work closely with Software Development and Hardware teams to debug and root-cause issues within Linux/QNX-based ADAS Platform Software. 

• Create Test automation frameworks, develop test scripts, and execute automated tests to enhance validation efficiency. 

• Conduct and assist with test result analysis, including FMEA, Root Cause Analysis (Ishikawa/Fishbone Analysis, A-B-A Testing). 

• Assist in issue triaging, log analysis, and troubleshooting ADAS/AD Platform issues. 

• Resolve End-of-Line issues related to ADAS Platform Software deployed into GM vehicles by analyzing tool logs from assembly plants to meet efficiency metrics. 

• Debug diagnostic communication issues between ADAS controllers using a Test tool to unblock manufacturing issues. 

• Improve hardware-in-the-loop (HIL), software-in-the-loop (SIL), and vehicle-in-the-loop (VIL) testing environments. 

Required Qualifications 

• Degree in Electronics, computer science, electrical engineering or similar  

• 12+ years of working experience in Software Verification and Validation. 

• Strong Programming skills in Python, CAPL, Vehicle Spy and Robot Framework. 

• Good understanding of Vehicle networks like CAN and Ethernet.