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Design and implement automated pipelines, metrics, and tools to validate autonomous vehicle behavior at scale using simulation and on-road data. Leverage LLMs and agentic workflows, ensure quality through monitoring and automated checks, and collaborate with stakeholders to productionize validation processes.

The role involves developing and supporting virtualization technology for testing embedded systems, integrating test environments, and enhancing test processes.

The Designer will create engaging vehicle interfaces, collaborate on user experience solutions, produce design deliverables, and advocate for design principles within a hybrid team setting.

Lead the Embedded Controls Software Architecture team, manage software architecture strategy, ensure governance, drive alignment across organizations, and foster team development.

The HIL Engineer will design, build, and maintain HIL systems for validating embedded controllers and perception systems, collaborating across teams.

Design and implement scalable ML infrastructure solutions, mentor junior engineers, own technical projects, and collaborate across teams to solve complex AI/ML problems.

Develop embedded software for vehicle software-update functions using C/C++ in various environments. Collaborate with teams, perform testing, and resolve issues to enhance vehicle software.

Design and build end-to-end software products for autonomous vehicles, leading projects in full-stack development, cloud infrastructure, and machine learning pipelines while mentoring junior engineers.

The Principal Developer Productivity Engineer will enhance GM's developer tools, mentor engineers, and drive system performance through observability and software engineering best practices.

The Principal AI/ML Engineer will lead the AV ML Infra team at GM, focusing on developing scalable ML infrastructure and guiding cross-functional collaboration while driving technical projects from inception to completion.