Senior Systems Engineer, Fleet Validation Lead

Job Description

Job Description

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. Zoox's System Design and Mission Assurance (SDMA) team is responsible for constructing the safety case and validating that our vehicles are safe enough to be deployed for autonomous driving. We play a foundational role for the success of the company.

We are seeking an experienced Systems Fleet Validation Lead engineer to champion the scoping, execution, and analysis for fleet driving campaigns. This is where the rubber actually meets the road. Our fleet of test vehicles is an important asset for collecting data for massive log replay simulation efforts, evaluating the impact of hardware changes on system validation arguments, and delivering as a piece of the final validation evidence for shipping a fully driverless service.

You will be leading an effort to analyze the Operational Design Domain (ODD), define mileage collection requirements, monitor collection efforts, unblock obstacles to efficient mileage collection, and analyze both metrics and important findings coming in from the field. The ideal candidate will leverage statistical and technical expertise to deliver pragmatic and optimal solutions for the business.

You will be part of an organization with strong leadership and a transparent, respectful culture that enables you to reach your full potential. This highly visible position offers opportunities for career growth through demonstrated achievement.

In this role, you will :

• Analyze the Operational Design Domain (ODD) and service duty cycle requirements to propose fleet mileage collection requirements for validation campaigns.
• Develop new pragmatic statistical and technical arguments to optimize data collection efforts so as to balance the needs of the Zoox Safety Case with the realities and challenges of operations and business needs
• Manage a small team of engineers
• Produce dashboards for tracking mileage collection and tracking the resolution of findings coming in from the field
• Troubleshoot blockers or inefficiencies with mileage collection efforts
• Collaborate cross-functionally with system safety, data science, fleet operations, and software teams to execute campaigns and act on findings
• Perform data analysis and report test results. Maintain traceability between requirements, test cases, and results. Define and develop automated data extraction tools to streamline analysis and reporting

Qualifications

Bonus Qualifications

Compensation

There are three major components to compensation for this position : salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $166,000 to $238,000. A sign-on bonus may be offered as part of the compensation package. 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.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

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Accommodations

If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

A Final Note :

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.