motional · Las Vegas, Nevada, United States; Remote U.S.
Skills: Python, SQL
About the Role: We are seeking an experienced Staff Safety Engineer to lead the definition, development, and operationalization of safety metrics and benchmarking methodologies for Level 4 autonomous vehicle (AV) and robotaxi deployment. In this role, you will establish quantitative frameworks to measure AV safety performance across on-road testing, simulation, and external benchmarks. You will develop statistically rigorous methodologies for risk estimation, counterfactual modeling, near-miss tracking, and collision severity assessment to guide deployment and software release decisions. Partnering across Safety Engineering, Systems Readiness & Performance, Autonomy, Data Science, and Fleet Operations, you will translate complex data into actionable metrics, governance frameworks, and executive evidence to ensure safe driverless commercial launch. Key Responsibilities: Safety Metrics Development: Define, standardize, and maintain core AV safety performance indicators (SPIs), including vehicle collisions, near-misses, safety-critical interventions, traffic compliance, and surrogate safety metrics Establish standardized metric definitions, exposure denominators (e.g., VMT), data quality requirements, automated calculation pipelines, and change-management governance for safety metrics. Develop leading and lagging indicators to monitor safety performance across software releases, operational design domains (ODDs), and structured scenario taxonomies. Develop quantitative benchmarking frameworks comparing AV safety performance against human-driving baselines, counterfactual models, public datasets (e.g., SHRP2, NASS-GES), and regulatory disclosures. Evaluate comparability across operators and human drivers, accounting for exposure normalization, operating conditions, event severity levels, and reporting differences. Establish scenario-based and exposure-normalized targets that provide meaningful safety criteria and align with partner/external readiness expectations. Clear…
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