Senior Software Engineer - AV Platform Integration and Test

Job Description

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. 

Responsibilities:

• 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. 

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 RAD Gigastar. 

• 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  

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), TCP and UDP . 

• Knowledge of automotive communication protocols (Ethernet, DDS, CAN, SOME/IP)







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