Staff Safety Engineer, Safety Metrics and Benchmarking
Core
Define, develop, and operationalize safety metrics and benchmarking methodologies for Level 4 autonomous vehicle (AV) and robotaxi deployment to guide software release decisions.
Role type
Staff Safety Engineer (Safety Metrics and Benchmarking)
Builds
Quantitative frameworks for AV safety performance, risk estimation models, and benchmarking against human-driving baselines.
Domain
Autonomous driving / Safety engineering / Statistical modeling
Deliverable
production ML models
Required skills
Statistical inference, Bayesian methods, risk modeling, rare-event analysis, counterfactual modeling, Python, SQL, data pipeline development, governance framework design, cross-functional leadership.
Preferred skills
Level 4 AV experience, robotaxi operations, collision severity modeling, injury-risk prediction, familiarity with ISO 21448, UL 4600, SAE J3237.
Technologies
Python, SQL, SHRP2, NASS-GES, Bayesian methods.
Responsibilities
Define and standardize core AV safety performance indicators (SPIs) and exposure denominators; develop leading and lagging indicators for software releases; build collision severity and injury-risk models; communicate benchmarking assumptions and statistical uncertainty to executives and regulators; lead change management procedures for safety metrics; evaluate comparability across operators and human drivers.
Seniority
Staff, technical leadership & cross-functional alignment