Staff Safety Engineer, Safety Metrics and Benchmarking

Job not on LinkedIn

🔥 0 minutes ago

🎰 Nevada – Remote

🎰 Nevada – Remote

💵 $144k - $191.3k / year

⏰ Full Time

🔴 Lead

👷🏻‍♀️ Engineer

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Motional

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2020

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

Motional is a leading company in the development of autonomous vehicles, focusing on making driverless transportation a safe, reliable, and accessible reality. A joint venture between Hyundai Motor Group and Aptiv, Motional has been at the forefront of driverless technology for decades, creating SAE Level 4 autonomous vehicles for ride-hail and delivery services. The company emphasizes safety and innovation, leveraging advanced machine learning and automotive technology to build fully driverless vehicles that integrate smoothly into mobility networks, providing an enjoyable experience for daily transportation and deliveries.

📋 Description

• Lead the definition, development, and operationalization of safety metrics and benchmarking methodologies for Level 4 autonomous vehicle and robotaxi deployment • Establish quantitative frameworks to measure AV safety performance across on-road testing, simulation, and external benchmarks • Develop methodologies for risk estimation, counterfactual modeling, near-miss tracking, and collision severity assessment • Define and maintain AV safety performance indicators, including collisions, near-misses, safety-critical interventions, traffic compliance, and surrogate safety metrics • Establish metric definitions, exposure denominators, data quality requirements, automated calculation pipelines, and change-management governance • Develop leading and lagging indicators across software releases, operational design domains, and scenario taxonomies • Build benchmarking frameworks comparing AV safety with human-driving baselines, counterfactual models, public datasets, and regulatory disclosures • Apply statistical inference, uncertainty quantification, Bayesian methods, and risk modeling • Analyze rare and high-severity events and establish confidence intervals, sample-size requirements, and statistical evidence thresholds • Build collision severity and injury-risk models • Connect quantitative findings to engineering investigations, safety mitigations, and release-readiness assessments • Provide technical leadership and cross-functional alignment across Safety Case, Systems Engineering, Simulation, Data Science, and Policy teams • Communicate technical evidence, uncertainty, and safety readiness assessments to executives, partners, and regulatory bodies

🎯 Requirements

• Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, Data Science, or a related technical field • 8+ years of experience in safety engineering, autonomous driving evaluation, statistical modeling, simulation-based validation, or AV risk assessment • Proven track record of defining quantitative safety metrics, SPIs, surrogate safety measures, and human benchmark models • Proficiency in Python and SQL, with experience analyzing large-scale operational or safety-related datasets • Strong expertise in statistical inference, rare-event analysis, counterfactual modeling, risk quantification, and release-readiness evaluation • Proven ability to lead cross-functional technical initiatives and communicate complex findings clearly • Master's or Ph.D. in a relevant technical or quantitative discipline (preferred) • Experience with Level 4 autonomous driving, robotaxi operations, or other safety-critical systems (preferred) • Experience benchmarking AV safety using public reports, regulatory disclosures, industry datasets, or published research (preferred) • Familiarity with scenario taxonomies, safety case frameworks, and standards such as UL 4600, ISO 21448 (SOTIF), ISO 8800, SAE J3237, and ISO 26262 (preferred) • Experience with collision severity modeling, injury-risk prediction, or human benchmark datasets (preferred)

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • 401(k) with a company match • Health savings accounts • Life insurance • Pet insurance • Potential bonus compensation • Potential company equity • Equal employment opportunity and inclusive work environment

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