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

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 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.

Leads multiple software engineering teams and owns technical direction across enterprise applications, integrations, APIs, legacy modernization, and production support. The role combines principal-level hands-on engineering with people leadership, including architecture decisions, coding, code reviews, debugging, engineering standards, incident response, hiring, coaching, and delivery management.

Develop and maintain embedded vehicle control and data planes for cloud-connected ECU fleets. Responsibilities include configuration delivery, vehicle data collection, distributed coordination, cloud integration, observability, reliability optimization, remote diagnostics, production support, open-source contributions, technical leadership, and mentoring. The role requires expertise in C/C++, Linux, Android, QNX, distributed systems, vehicle protocols, AUTOSAR, and fleet management.

Develop and implement trajectory optimization, vehicle dynamics, and closed-loop control software for GM's Super Cruise. Translate algorithms into production-quality C++/Python code, test and validate control and planning systems, collaborate across perception, localization, safety, and simulation teams, and improve reliability through tooling, CI, and validation.

The Senior Compiler Engineer will develop a model compilation toolchain for deploying optimized machine learning models in autonomous vehicles, focusing on performance engineering and collaboration with cross-functional teams.

Develop and evaluate ML and perception models for future sensing and autonomous driving. Work on detection, tracking, classification, sensor fusion, training pipelines, validation, robustness metrics, and integrate models into onboard systems while collaborating with cross-functional teams.