Principal AV Behavior Safety Engineering Lead
Core
Lead strategy and validation for SAE Level 3–4 Automated Driving Systems (ADS) behaviors powered by machine-learned models to ensure zero crashes.
Role type
Principal AV Behavior Safety Engineering Lead (hands-on IC)
Builds
End-to-end safety cases, validation methodologies, and safety performance indicators for GM's automated driving products.
Domain
Autonomous Vehicles / Machine Learning / Safety Engineering
Deliverable
production ML models
Required skills
AV behavior development, ODD definition, safety standards (ISO 21448, ISO 5083), simulation validation, public-road testing, risk assessment, cross-functional leadership, technical strategy, data analysis
Preferred skills
Generative AI, Reinforcement Learning, LLMs, RAG, MLOps, Cloud platforms (Azure, AWS, GCP), Python, PyTorch, TensorFlow, SQL, Tableau
Technologies
ISO 21448, ISO 5083, SOTIF, AVSC, Python, PyTorch, TensorFlow, Azure, AWS, GCP, MLflow, Docker, Kubernetes, Jira, Tableau, PowerBI
Responsibilities
Define GM's strategy for safe autonomous system development and validation; own the behavior-focused portion of the ADS Safety Case; collaborate on end-to-end AV behavior validation methodology; assess AV performance using simulation and real-world data; define assurance processes to verify safety targets; support development of safety performance indicators (SPIs).
Seniority
Principal, hands-on IC
