Lead Autonomy Systems Architect (Sensor Suites)

General Motors Company; Warren (MI); Hybrid; USD 189,000 - 291,000; Full time

Job summary

General Motors is seeking a staff systems engineer to join the AV team to define 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 those sensing solutions are technically sound and producible.

You will lead system-level trade studies, develop sensor performance specs, and collaborate with AI/ML, simulation, data collection,

Qualifications

• Bachelor’s degree in Electrical/Computer Engineering or Computer Science.
• 10+ years of sensor-related experience.
• Demonstrated leadership across system architecture, data collection, integration.
• Experience developing multi-modality sensing systems (camera, radar, lidar).

Responsibilities

• Lead system level trade studies for multi-modality sensor systems with performance modeling.
• Develop detailed sensor performance specifications based on sensor physics.
• Assess performance against product needs and drive improvement.
• Coordinate with simulation, vehicle integration, perception, localization and validation teams.

Skills

System architecture

Cross-functional leadership

Sensor systems

Signal processing

Machine learning

Matlab

Python

Documentation

Ambiguity management

Education

Bachelor's in Electrical/Computer Eng or CS

Tools

Matlab

Python

Data analysis tools

Job description

General Motors is seeking a staff systems engineer to join the AV team to define 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 those sensing solutions are technically sound and producible.

You will lead system-level trade studies, develop sensor performance specs, and collaborate with AI/ML, simulation, data collection,