Safety Lead

AI Summary

Job Description

Lead the safety architecture, risk management, and system safety engineering for an autonomous vehicle platform. Manage a multidisciplinary engineering team, oversee safety case development, and define AI/ML safety strategies. Drive risk management, safety governance, and collaborate with external partners and customers on safety protocols.

Hard Requirements

• Bachelor’s or Master’s degree in Systems Engineering, Robotics, Electrical Engineering, Computer Science, or related field
• 10+ years of experience in systems safety engineering for safety-critical domains
• 4+ years of direct engineering management experience
• Proven experience acting as a primary interface to customers or external stakeholders
• Proven ability to operate, adapt, and drive technical outcomes in a fast-paced frontier technology environment
• Demonstrated track record building, delivering, and defending an end-to-end safety case for deployed autonomous or robotic systems
• Deep mastery of functional safety standards: ISO 26262, ISO 21448 (SOTIF), and UL 4600
• Practical experience applying AI/ML safety frameworks (specifically ISO/PAS 8800) to probabilistic systems
• Hands-on experience leading hazard analysis techniques (HARA, FMEA, FTA, STPA)
• Proven experience establishing technical safety interfaces with automotive OEMs and Tier 1 suppliers, including hands-on experience structuring DIAs

Soft Requirements

• Ph.D. in Systems Engineering, Computer Science, Robotics, or Machine Learning
• Experience managing joint-development automotive programs
• Expertise assessing deep neural network interpretability, dataset quality, and non-deterministic software verification
• Direct experience representing safety architectures to regulatory bodies or external certification entities
• Proficiency with Goal Structuring Notation (GSN) and enterprise systems management tooling (e.g., Jama, Polarion, DOORS)