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Lead GM's Software Supply Chain Security function: translate strategy into execution, build and coach a high-performing team, own KPIs, and embed secure-by-design controls across source control, build pipelines, containers, SBOM, third-party software, and developer tooling while partnering with engineering, platform, cloud, procurement, and risk.

Design and own large-scale simulation evaluation pipelines and metrics to validate autonomous driving software. Lead cross-functional integration, invent methodologies to quantify simulation trustworthiness, drive technical roadmaps, and present results via dashboards to inform release and safety decisions.

Design, implement, and optimize large-scale autonomous vehicle simulation testing pipelines and shared libraries. Build automation for test creation, data collection/analysis, debugging, and monitoring. Integrate AI tools to automate test generation and analytics, lead technical roadmaps, perform code reviews, and mentor engineers to improve AV behavior validation and deployment.

The Staff Engineer will define reliability architecture, automate foundational utilities, develop observability tools, ensure environment integrity, and mentor colleagues.

As a Senior Machine Learning Engineer, you will manage the entire lifecycle of safety-critical ML perception models, optimize performance, and ensure reliable deployment on embedded systems.

As a Staff AI/ML Engineer, you'll enhance developer productivity, mentor engineers, drive best practices, and implement scalable solutions for AV tools and services.

The role involves leading the development of simulation frameworks for autonomous driving software, requiring strong programming skills and collaboration across engineering teams.

The Senior Software Engineer will lead the architectural and technical vision for simulation tooling, focusing on Python SDK development, mentoring engineers, and improving performance and infrastructure for autonomous driving technologies.

Lead design, develop, test, deploy, and maintain OneStream EPM solutions. Participate in full lifecycle projects, integrate systems, provide technical leadership, documentation, and post-live support.

The Principal AI/ML Engineer will lead the AV ML Infra team, overseeing scalable ML infrastructure, project ownership, collaboration, and team mentorship in AI and ML innovation at GM.