/Senior/Staff Safety Engineer

Senior/Staff Safety Engineer

Mountain View, CAusvia direct
// Job Type
Full Time
// Salary
USD 160,000 - 240,000/year
// Salary Range
160,000–240,000 USD / year
// Posted
1 month ago

About the Role

We’re seeking a Safety Engineer to lead safety performance evaluations and data-driven assessments for our autonomous trucking systems. You’ll define and monitor Safety Performance Indicators (SPIs) and KPIs, ensure alignment with Gatik’s safety case, and drive continuous safety improvements from vehicle to fleet-level deployment. This role is onsite 5 days a week at our Mountain View, CA or Fort Worth, TX office! What you'll do Assess safety performance using real-world and simulated data Lead post-deployment safety analyses and risk mitigation strategies Define and track SPIs/KPIs to ensure alignment with safety goals Analyze fleet-wide safety trends, support safety dashboards, and enable real-time monitoring Leverage predictive analytics to forecast and prevent safety issues Evaluate vehicle and fleet deployments for safe integration into operations Partner with engineering, product, and ops teams to embed safety in development and deployment Maintain and evolve the safety case to meet internal and external standards Support regulatory engagement and prepare safety documentation for audits and approvals Drive a safety-first culture through risk assessments, hazard analyses, and feedback loops What we're looking for Master’s in Safety, Mechanical, Automotive, Systems Engineering, or related (PhD a plus) 3–5+ years in safety engineering within autonomous systems, transportation, or related fields Experience with SPIs, KPIs, and managing both predictive and historical safety metrics Strong skills in safety performance evaluation, failure mode analysis, and event prediction Familiarity with safety standards and frameworks (e.g., ISO 26262, UL4600, SAE J3016) Experience with SMS design and implementation, data analysis, and fleet monitoring tools Excellent cross-functional communication and problem-solving skills Bonus Points Experience in autonomous vehicle development, especially trucking Familiarity with ML for safety-critical applications Knowledge of vehicle dynamics, sensors, and regulatory frameworks

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