Field Safety Engineer

Waymo LLC; Mountain View (CA); On-site; USD 170,000 - 210,000; Full time

Job summary

Waymo LLC in Mountain View, CA seeks a PhD-qualified engineer to join the Field Safety team, focusing on offboard monitoring and safety analytics for autonomous vehicles. You will work on investigations, data trends, and proactive monitoring to enhance vehicle safety.

Responsibilities include designing and building monitors with Python and C++, analyzing field data, and collaborating across engineering teams to translate data into actionable safety insights in a hybrid work setting.

Qualifications

• Ph.D. in Mechanical Engineering, Aerospace Engineering, Electrical Engineering, Computer Science, or a related technical field.
• Hands-on experience developing software for data analysis, system modeling, or simulation.
• Strong knowledge of physics-based modeling, control theory, vehicle dynamics, sensing and ML.
• Excellent written and verbal communication skills.

Responsibilities

• Participate in investigations into driverless events, employee safety concerns, and other potential issues affecting Waymo vehicles.
• Identify opportunities for offboard field monitoring and design/build your own monitors using Waymo's AI tools.

Skills

Python

C++

Data analysis

System modeling

Simulation

Machine learning

Communication skills

Education

Ph.D. in Mechanical Engineering, Aerospace Engineering, Electrical Engineering, Computer Science, or a related technical field

Tools

SQL

Data dashboards

Git

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

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. As part of Waymo’s Field Safety team, you will be involved in the analysis of events and issues affecting Waymo’s autonomous vehicles. Inspired by these real-world issues, you will design and build proactive, offboard field monitors, making use of Waymo's latest available AI tools. You will receive direct mentorship from Waymo's Field Safety Architect and other safety leaders to transition cutting-edge academic theory into real-world autonomous fleet safety at scale.

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

You will:

• 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.

You have:

• 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. graduates are highly encouraged to apply.
• 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 data analysis tools that anticipate the next technical question.
• 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 prediction, and machine learning.
• 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.

We prefer:

• Software experience in autonomy or machine learning.
• Familiarity with statistical data analysis, quantitative risk assessment, or reliability engineering.
• Experience working with large-scale datasets, database querying (SQL-like), or building interactive offboard data dashboards.

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range

$170,000—$210,000 USD