Staff AI/ML Engineer - Future Sensing, Embodied AI
Core
Designing and deploying end-to-end AI/ML perception solutions for autonomous vehicle future sensing architectures, including multi-modal sensor fusion and system integration.
Role type
Staff AI/ML Engineer (Autonomous Driving Perception)
Builds
Scalable onboard ML and perception solutions for GM's autonomy stack
Domain
Automotive / Autonomous Driving / Robotics
Deliverable
production ML models
Required skills
Deep learning frameworks (PyTorch), Python, multi-modal sensor fusion, perception pipelines (detection, tracking, localization), model validation and optimization, data processing (NumPy, Pandas, Apache Spark), system integration, technical leadership
Preferred skills
Robotics or autonomous driving systems experience, architecting perception systems for safety-critical platforms, simulation and synthetic data workflows, mentoring engineers
Technologies
PyTorch, Python, NumPy, Pandas, Apache Spark, cameras, lidar, radar
Responsibilities
Design and implement AI/ML solutions for future sensing objectives; Lead end-to-end technical studies on sensor selection, configuration, and placement; Architect and evaluate perception models for detection, reconstruction, and tracking; Drive definition of robust model-level and system-level metrics; Lead model development from data curation to deployment; Partner with simulation teams for synthetic-data requirements; Drive system integration across sensing, calibration, and compute; Design infrastructure for large-scale data processing and model training; Mentor engineers through technical collaboration and code reviews
Seniority
Staff, hands-on IC with technical leadership
