- Robot type
- Autonomous Vehicle
- Location
- Mountain ViewCaliforniaUSA
- Job type
- Customer Success
- Posted
- Oct 14, 2026
- Salary
- $170,000–$210,000 a year
Field Safety Engineer
Job description
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.
In this role you will help build Waymo’s offboard Field Safety monitoring capabilities, which help to ensure the continued safety of Waymo’s vehicles as we expand our operations.
Job responsibilities
- Participate in investigations into driverless events, employee safety concerns, and other potential issues that could pose risks to the safety of Waymo vehicles, analyzing field data to identify trends.
- Identify opportunities for further offboard field monitoring, then design and build your own monitors, making use of Waymo's latest available AI tools.
Job requirements
- Ph.D. in Mechanical Engineering, Aerospace Engineering, Electrical Engineering, Computer Science, or a related technical field. This role does not require post-doctoral work experience, and recent Ph.D.
- Hands-on experience developing software for data analysis, system modeling, or simulation. Demonstrated ability to independently write clean, maintainable, and well-documented code (e.g., Python, C++) to build reusable…
- Solid grasp of one (and, ideally, multiple) fundamental areas relevant to autonomous vehicle safety including physical system modeling, control theory, vehicle dynamics, sensing, perception, planning, behavior…
- A natural curiosity to explore novel ways of leveraging data to rapidly answer safety questions arising from field events.
- Eagerness to network internally and build relationships across diverse engineering teams to trace issues and collect data.
- Excellent written and verbal communication skills.
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