The Waymo Safety team works to promote and help to continuously improve the safety of Waymo’s fully autonomous driving technology. Our experts develop safety goals and strategies, and conduct safety engineering analyses to ensure safety is being considered throughout the design and development of our vehicles. The team develops and promotes safety strategies and policies for autonomous vehicles for its work with regulatory authorities, lawmakers, law enforcement and public and non-profit organizations. Our Safety Team also helps advise on compliance with applicable environmental, health, and safety regulations.

We are seeking an experienced safety leader to own Operations Performance on Waymo’s Field Safety team. In this role, you will engage on high-consequence issues affecting Waymo’s frontline human-in-the-loop operations. Applying systems thinking, your human factors expertise, and Human & Organizational Performance (HOP) principles, you will collaborate to identify and drive safety enhancements across autonomous and manual driving operations, testing programs, and depot environments.

This role follows a hybrid work schedule and reports to the Senior Director, Safety.

You will:

• Advance operational learning by leading deep-dive investigations into complex field events involving human-system interactions, resulting in process and system enhancements. 
• Define and govern Waymo’s enterprise-level safety requirements and standards for human drivers and vehicle operators, including those related to fatigue and distracted driver risk mitigations.
• Analyze operational field data to feed closed-loop safety learning.
• Be a champion for a just safety culture throughout the organization.

You have:

• M.S.  in Human Factors, Industrial Engineering, Organizational Psychology, Cognitive Science, or a related degree 
• 10+ years experience with safety involving human-system interaction and complex socio-technical systems (e.g. autonomous systems, transportation, aerospace, robotics, or defense)
• Demonstrated expertise applying human factors engineering and HOP principles to incident investigations and risk control design
• Self-motivated and eager for cross-functional collaboration

We prefer:

• Ph.D. in Human Factors, Organizational Psychology, Industrial Engineering, Cognitive Science, or a related degree
• Experience with Fatigue Risk Management and/or human performance in automated driving or teleoperations.

Travel: 

• As required, up to 10%