Descrição
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]
Informações sobre diversidade
A General Motors está comprometida em ser um local de trabalho que não só é livre de discriminação ilegal, como estimula verdadeiramente a inclusão e integração. Acreditamos enfaticamente que a diversidade na força de trabalho cria um ambiente no qual nossos colaboradores podem crescer e desenvolver melhores produtos para nossos clientes. Incentivamos os candidatos interessados a analisar as principais responsabilidades e qualificações de cada função e a se candidatar a qualquer cargo que corresponda a suas habilidades e capacidades. Os candidatos no processo de recrutamento podem, quando aplicável, ser solicitados a concluir com sucesso uma ou mais avaliações relacionadas à função e/ou uma seleção pré-emprego antes de iniciar o emprego. Para saber mais, acesse Como contratamos.
Declaração de Igualdade de Oportunidades de Emprego (EUA)
A General Motors tem orgulho de ser um empregador que oferece oportunidades iguais. Todos os candidatos qualificados serão considerados para o emprego, independentemente de raça, cor, religião, sexo, orientação sexual, identidade de gênero, origem nacional, deficiência ou status como veterano protegido.
Adaptações (EUA e Canadá)
A General Motors oferece oportunidades a todos os candidatos a emprego, incluindo pessoas com deficiências. Se você precisa de uma adaptação razoável para ajudá-lo na sua pesquisa de cargos ou solicitação de emprego, fale conosco pelo e-mail Careers.Accommodations@GM.com ou pelo telefone 800-865-7580. No seu e-mail, inclua uma descrição da adaptação específica que você está solicitando assim como o nome do cargo e o número de requisição do cargo ao qual está se candidatando.