Principal Engineer Team Lead, Behavior Safety & Metrics
Core
Establish evaluation strategy and quantitative frameworks connecting model performance with real-world vehicle behavior for autonomous driving systems.
Role type
Principal Engineer Team Lead (Autonomous Driving Evaluation)
Builds
Advanced metrics, scalable evaluation tools, and data mining strategies for prediction and planning models.
Domain
Autonomous driving, machine learning, robotics, data science
Deliverable
production ML models
Required skills
Probability and statistics, Python, SQL, data analysis, performance target definition, hazard analysis methods (STPA, HAZOP, FMEA), autonomous robotics prediction/planning, large-scale data pipelines
Preferred skills
Machine learning methods for performance quantification, public AV datasets (Waymo, nuScenes), industry standards (SOTIF, ISO 26262, UL 4600)
Technologies
Python, SQL
Responsibilities
Serve as technical authority for evaluation across Behavior teams; Define and lead evaluation strategies for prediction and planning models; Design and implement advanced performance metrics; Incorporate counterfactual reasoning and reaction-time analysis; Develop data mining strategies and assess dataset coverage; Build scalable evaluation tools and pipelines; Establish performance targets and acceptance criteria for safety, comfort, and assertiveness.
Seniority
Principal, hands-on IC with leadership
