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Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
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Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
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Description
We are looking for a Software Engineer (L5 IC) to elevate the quality, trust, and operational efficiency of simulated tests, with a specific focus on driving test quality metrics within the Simulation organization at large.
This role will build out infrastructure components to augment the offshore vendor team by better automating their workflows, adding observability to process steps, and expanding infrastructure to support custom solutions and integrations with GM simulation tooling workflows.
What you'll be doing (Responsibilities)
What we do NOT do:
Your Skills & Abilities (Required Qualifications)
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
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.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
We are looking for a Software Engineer (L5 IC) to elevate the quality, trust, and operational efficiency of simulated tests, with a specific focus on driving test quality metrics within the Simulation organization at large.
This role will build out infrastructure components to augment the offshore vendor team by better automating their workflows, adding observability to process steps, and expanding infrastructure to support custom solutions and integrations with GM simulation tooling workflows.
What you'll be doing (Responsibilities)
- Build highly scalable infrastructure and automations to empower large-volume test creation, full-lifecycle health monitoring, and process improvements.
- Effectuate scalable quality assessments, automations empowering better consistency, and process codifications to increase confidence in offshore vendor team and automated output
- Influence technical roadmaps and strategic priorities while partnering cross-functionally to identify and resolve efficiency pain points from team members and customers.
- Writing software in a relatively new vertical unconstrained by legacy bloat.
- Leverage AI tools (e.g., code assistants, automated test generation, analytics) to boost productivity, code quality, and innovation in simulation testing.
- Uphold high code quality and architecture standards through code reviews and technical leadership, including providing mentorship to other engineers on simulation testing and software best practices.
What we do NOT do:
- Build simulation frameworks
- Data science
- Validation / safety requirements
- Manual simulation test creation
Your Skills & Abilities (Required Qualifications)
- BS or MS in Computer Science, Engineering, or equivalent experience.
- Experience coding in Python
- Strong communication and collaboration skills.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
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.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
General Motors Mountain View, California, USA Office
General Motors Mountain View Tech Center Office




Opened in 2024, our Mountain View facility serves as a hub for research and innovation in Silicon Valley. Designers, engineers, and staff at this state-of-the-art campus support the advancement of General Motors’ product portfolio through software development, engineering and design.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine





