Overview:
In this role you help define how autonomous sensing systems are architected and integrated across GM’s autonomy programs. You will perform system-level trade studies and shape multi-modality sensor suites, collaborating with AI/ML, platform software, and vehicle integration teams. You’ll translate physics-based analysis into production-ready sensor solutions that align with product intent. This is an opportunity to influence sensing architecture at scale and contribute to GM’s autonomous driving mission. Compensation / Benefits hybrid work arrangement relocation benefits Total Rewards resources disability accommodations inclusive workplace benefits overview available
Responsibilities:
Execute system-level trade studies for multi-modality sensor designs with performance modeling and AV impact assessment Develop detailed sensor performance specifications grounded in sensor physics and signal processing Assess performance against product needs to quantify risk and drive continuous improvement Collaborate with cross-functional teams (simulation, vehicle integration, perception, localization, validation) to manage interdependencies Document technical decisions, trade-offs, and deliverables clearly
Key requirements:
Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related technical discipline 5+ years of experience with B.S. in sensing-enabled roles Experience supporting sensor analysis, integration, and cross-domain technical initiatives Technical depth in signal processing, data analysis, or ML across at least one sensing modality Understanding of self-driving challenges and how they map to sensor needs Proven ability to contribute in complex problem spaces and collaborate across teams Experience with Matlab, Python, or equivalent for data analysis and tooling cross-functional collaboration effective communication problem-solving under ambiguity sensor analysis and integration signal processing data analysis