Senior Software, AV Platform Core Test

Job Description

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Mountain View or Warren, MI three times per week, at minimum [or other frequency dictated by the business if more than 3 days].

The Role:    

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.  

What You'll Do: 

• Design and develop scalable, high-coverage software testing for the ADAS/AV platform.  

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

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

• 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 and QNX.  

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

Additional Job Description

Your Skills & Abilities (Required Qualifications)

• Bachelor's degree in electronics, computer science, electrical engineering or a related technical degree 
• Minimum of 6 years of professional technical experience 
• Minimum of 3 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.  
• Knowledge of network analysis and debugging tools, Ex: Wireshark, CANoe/CANalyzer, INCA, RAD Galaxy.  
• Ability to understand the requirements and transfer that into Test Scenarios, Situations / Tests, or testable scripts to be used in vehicle simulation environments.  
• Flexible, dependable, self-initiative, and capable of learning new skills and technologies. 
• Possess a valid driver’s license and the ability to operate test vehicles   

What Will Give You a Competitive Edge (Preferred Qualifications) 

• Must have hands-on Experience with QNX or Linux based software systems and Embedded programming.  
• Knowledge in ROS, Linux-based embedded systems, and RTOS environments.  
• Excellent cross-collaboration and critical problem-solving skills.  
• Experience in Unified Diagnostic Services (ISO 14229).  
• Knowledge of automotive communication protocols (Ethernet, DDS, CAN, SOME/IP) 

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.  

• The salary range for this role is $134,000 to $235,900. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. 
• 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 progra