Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and deploy such a robotaxi solution safely. As a Senior/Staff Systems Engineer focusing on autonomy system service metrics at Zoox, you will have the opportunity to work closely with cross-functional teams to define, develop, and continuously refine the methodology for measuring the service and driving performance of our autonomy system. Your work will be critical in informing key launch decisions and ensuring the successful deployment of Level 5 autonomous driving technology by identifying and quantifying events that impact the robotaxi’s ability to safely complete riders' journeys.

In this role, you will:

Lead the definition, development, and evolution of progress metrics that measure the robotaxi’s ability to safely complete customers’ journeys

Develop robust methodologies for quantifying the readiness and maturity of the autonomous driving system against defined progress metrics.

Model the performance impact of autonomy behavior and residual operational risks.

Perform in-depth system analysis to derive comprehensive verification and validation (V&V) strategies for progress metrics.

Communicate complex metric concepts, model outcomes, and actionable insights to diverse stakeholders and executives.

Ensure end-to-end traceability of metrics to strategic goals and system performance targets, enabling continuous feedback loops.

Qualifications:

M.S. or higher degree in an Engineering or Computer Science discipline

At least 7 years of relevant professional experience in systems engineering, data analysis, performance tracking, or risk quantification for complex systems.

Demonstrated experience in defining, implementing, and managing quantitative metrics and data pipelines for software or hardware systems.

Proficiency in quantitative analysis/modeling tools and ability to use Python to interface with large-scale driving and simulation data sources.

Strong understanding of complex software systems, preferably in robotics, autonomous driving, or aerospace.

Collaborative team player with good written and in-person communication skills, capable of influencing, driving consensus, and presenting complex data to varied audiences including senior executives.

Bonus Qualifications:

Metrics ownership experience in autonomous driving or robotics

Experience with other safety-critical systems

Experience with risk assessment or system analysis methodologies

Experience building out a large-scale process from conception to implementation

Compensation

Base Salary Range

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Zoox

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Zoox

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Senior/Staff Systems Engineer - Autonomy System Performance

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