General Motors is developing autonomous driving systems and is seeking a Staff Sensor Systems Engineer to lead technical efforts in sensor system architecture and integration across their autonomy programs. This role involves system-level decision-making and collaboration with various teams to ensure the successful deployment of sensing solutions in vehicles.
Responsibilities:
- Lead system level trades and requirement decomposition, definition, and integration requirements of autonomous sensor systems, including cameras, radar, and lidar
- Provide detailed technical analysis from component level to system for autonomous vehicle sensing functions across performance, latency, data integrity, synchronization, and hardware/software interaction
- Translate autonomy and product intent into system architectures, functional decompositions, and requirements
- Work closely with software platform teams, vehicle integration, hardware teams, perception, and validation teams to manage complex interdependencies and drive forward progress
- Ensure system designs meet safety, regulatory, quality, and performance requirements relevant to autonomous vehicle operation
- Drive continuous improvement in sensing system performance, robustness, diagnostics, integration, and cost
- Clearly document technical decisions, trade‑offs, and deliverables
Requirements:
- Bachelor's degree in Systems, Electrical, Software, Mechanical Engineering, or equivalent work experience
- 10+ years of experience in systems engineering, system integration, or hardware‑intensive product development
- Experience working with sensing systems (camera, radar, lidar, or similar) and their usage and integration into vehicles
- Experience leading system architecture, integration, and cross‑domain technical initiatives
- Strong expertise in requirements development, interface definition, integration, and validation
- Technical depth in signal processing, link analysis, or ML across at least one relevant sensing modality
- Demonstrated ability to operate effectively in ambiguous problem spaces and drive technical alignment across teams
- Experience with Matlab, Python, or other language to support data analysis and analysis tooling development
- Master's degree in Engineering or a related technical discipline
- Experience working on L4 (or equivalent) autonomous vehicle programs or advanced remote sensing platforms
- Experience developing, debugging, or integrating embedded or systems‑level software
- Significant experience with automotive autonomy focused SPAD lidars and/or imaging radars
- Experience with requirements management tools such as JAMA or DNG
- Knowledge of safety-critical‑ system development or functional safety concepts
- Experience with system/component validation, including vehicle testing, HIL/SIL, simulation, and large‑scale data analysis