Staff Systems Engineer, Driving Behaviors

Waymo's Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run smoothly and keep passengers safe, then design and perform the tests that validate that performance. We're looking for talented teammates who’ll help us maintain strong teamwork and are passionate about driving results.

In this hybrid role, you will report to a Systems Engineering Manager

You will:

• Identify the critical data of key driving behaviors, analyze it, develop metrics, and use those metrics to influence the design of the system, in ambiguous, open-ended behavioral areas
• Provide requirements and feedback on verifications, CL's, etc.
• Anticipate  issues and risks in your area of ownership, communicate them clearly and work cross-functionally to mitigate them.
• Architect large projects with broad impact on the efficiency of the systems engineering organization
• Build, coordinate, and nurture collaborations across teams
• Champion intellectual honesty

You have:

• Bachelor’s or Master’s degree in a relevant engineering or related field (e.g., Software Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, Robotics, Controls, Aerospace, etc.)
• Demonstrated ability to tackle technical challenges, analyze cross-disciplinary problems, and propose innovative, maintainable solutions
• Experience with data collection, statistical analysis, and developing metrics to support system evaluation or improvement
• Strong skills in creating clear and concise technical documentation and effectively presenting complex ideas to diverse audiences
• Proven ability to contribute to or lead cross-functional initiatives, driving alignment and ensuring stakeholder engagement throughout the development process
• Proficiency with tools like Python, MATLAB, or similar for data analysis

We prefer:

• Experience with large-scale system architecture, including integrating hardware and software systems in a regulated or safety-critical environment
• Familiarity with leveraging machine learning models for system optimization or predictive analytics
• Experience leading cross-team initiatives, including coordinating with external vendors or partners to deliver high-impact solutions
• Proven track record of defining and implementing process improvements that enhance productivity, test coverage, or system reliability
• Knowledge of automotive, robotics, or related industries, particularly in areas like safety systems, motion planning, or perception systems