Senior Software, AV Platform Core Test

Job Description

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 Senior 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:

• Bachelors degree in electronics computer science electrical engineering a related technical degree or work equivalent experience.

• 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 drivers 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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