설명
This role is categorized as hybrid. This means the successful candidate is expected to report to Mountain View, 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.
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Define and implement a scalable, high-coverage software test strategy for the ADAS platform.
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Analyze diagnostics from a full-vehicle perspective to support efficient triaging and debugging related to ADAS Platform Software.
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Recommend and contribute to ADAS Platform software quality improvement activities across all assigned applications while ensuring compliance with Software Quality Management Processes.
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Ensure compliance with legal standards and safety requirements, including ISO 26262, SOTIF, FMVSS 111, and FMVSS 127, while improving test coverage and metrics.
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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.
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Work closely with Software Development and Hardware teams to debug and root-cause issues within Linux/QNX-based ADAS Platform Software.
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Create Test automation frameworks, develop test scripts, and execute automated tests to enhance validation efficiency.
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Conduct and assist with test result analysis, including FMEA, Root Cause Analysis (Ishikawa/Fishbone Analysis, A-B-A Testing).
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Assist in issue triaging, log analysis, and troubleshooting ADAS/AD Platform issues.
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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.
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Debug diagnostic communication issues between ADAS controllers using a Test tool to unblock manufacturing issues.
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Improve hardware-in-the-loop (HIL), software-in-the-loop (SIL), and vehicle-in-the-loop (VIL) testing environments.
Required Qualifications
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Degree in Electronics, computer science, electrical engineering or similar
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12+ years of working experience in Software Verification and Validation.
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Strong Programming skills in Python, CAPL, Vehicle Spy and Robot Framework .
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Good understanding of Vehicle networks like CAN and Ethernet.
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Proficiency in network analysis and debugging tools, Ex: Wireshark, CANoe/CANalyzer, INCA, RAD Galaxy.
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Ability to understand the requirements and transfer that into Test Scenarios, Situations / Tests, or testable scripts to be used in vehicle simulation environment.
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Flexible, dependable, self-initiative and capable of learning new skills and technologies.
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Previous experience as a Test Architect worked in defining Test strategy and implementing it in distinct levels of the project (from the architecture level up to System).
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Good understanding of System level testing concepts, techniques, and test strategies for ADAS systems.
What Will Give You a Competitive Edge
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Hands on Experience with QNX or Linux based software systems and Embedded programming preferred.
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Contributions to Open-Source Automation Frameworks like Robot.
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Deep understanding of ROS, Linux-based embedded systems, and RTOS environments.
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Excellent cross-collaboration and critical problem-solving skills.
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Demonstrated ability to deal with ambiguity while driving timely decision making.
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Hand’s Experience in Unified Diagnostic Services (ISO 14229).
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Knowledge of automotive communication protocols (Ethernet, DDS, CAN, SOME/IP).
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Knowledge and hands on experience in development of Rest-Bus-Simulation.
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 the California Bay Area.
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The salary range for this role is $186,200 to $285,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
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Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
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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.
[Additional Description]
다양성 정보
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