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Staff AV Behavior Safety Engineering Lead

Other Full-time Permanent United States

Job details

$185,100 Salary
United States Eligibility
Lead Experience
Full-time Employment

About this role

Role overview Lead the safety strategy and assurance work for machine-learning-based automated driving behaviors in SAE Level 3–4 systems. The role spans the development lifecycle, from defining system architecture, operational boundaries, and behavior through simulation and real-world validation. It shapes the evidence and safety measures used to assess readiness for product launch, working across engineering, AI, simulation, validation, and vehicle program teams.

Responsibilities - Set the strategy for assessing safety in automated driving behaviors and AI-driven system architectures. - Define the behavior-focused claims, evidence expectations, and sufficiency criteria within the automated-driving safety case. - Develop safety methods for machine-learning approaches, including imitation learning and reinforcement learning. - Partner with validation, simulation, AI, and metrics teams to establish evaluation methods, human benchmarks, safety indicators, and launch targets. - Assess safety and reliability using simulation, closed-course testing, and public-road data, then give engineering teams prioritized feedback. - Run an assurance process to check whether safety targets and evidence support launch readiness, drawing on relevant standards and industry practices.

Requirements - Bachelor’s degree in computer science, engineering, mathematics, or a related field. - At least 7 years of experience in machine learning, engineering, data science, or a related area. - Extensive experience with autonomous vehicle behavior development and validation across the end-to-end lifecycle. - Ability to lead technical work and collaborate across software, AI, simulation, validation, metrics, and vehicle program teams.

Benefits and work setup The role is remote within the country of employment and is expected to require less than 25% travel. Benefits listed include health and wellbeing coverage, retirement savings, paid leave, tuition assistance, and employee assistance programs. A vehicle evaluation program may be available after a motor vehicle record review; participation includes a vehicle purchase or lease requirement, subject to stated exceptions.

Skills detected in the listing

Stakeholder ManagementGCPMachine Learning
Detected Nov 14, 2026
Last verified Nov 14, 2026

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