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General Motors is seeking a Staff Systems Engineer for the AV team to lead sensor suite architecture across GM’s autonomy programs. You will drive system-level trade studies, define multi-modality sensor suites, and work with AI/ML, simulation, data collection, platform software, and vehicle integration teams to address complex challenges.
You will guide cross-functional collaboration, document decisions, and help ensure production-ready sensing solutions aligned with product intent.
General Motors is developing hands-off and eyes-off autonomous driving systems intended for broad deployment across consumer vehicles. As part of this effort, GM is investing in sensors and architectures that can be integrated, validated, and operated reliably at scale across diverse vehicle programs and operating environments.
General Motors is developing hands-off and eyes-off autonomous driving systems intended for broad deployment across consumer vehicles. As part of this effort, GM is investing in sensors and architectures that can be integrated, validated, and operated reliably at scale across diverse vehicle programs and operating environments.
We are seeking a staff systems engineer to join the AV team to provide technical leadership in defining how autonomous sensing systems are architected and integrated across GM’s autonomy programs. This role focuses on sensor suite design at the intersection of sensors, Perception, Behaviors, and vehicle integration, ensuring that sensing solutions are technically sound, aligned with product intent, and executable in production.
In this position, you will apply your specific areas of expertise to develop solutions to novel challenges as you lead system‑level trade studies, perform detailed analysis on individual sensors, and define multi-modality sensor suites spanning camera, radar, lidar, and more. You will work closely with AI/ML, simulation, data collection, platform software, and vehicle integration teams to address real engineering challenges. This role is for engineers who thrive in navigating ambiguous problem spaces and bring clarity to cross-functional teams with data-driven solutions.
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 New York, Colorado, California, or Washington.
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. Relocation benefits are available for candidates who qualify under company policy.
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