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Sunnyvale, California, United States of America, United States of America
Hybrid
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:
Bachelor's 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 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)
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 $153,200- $234,100. 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:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
About GM
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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
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