Systems Engineer, Autonomy Verification and Validation

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. You will be part of an organization with strong leadership and a transparent, respectful culture that enables you to reach your full potential.

In this role, you will:

• Develop, coordinate, and execute efficient simulation and structured test plans for our autonomy systems, with a focus on perception and sensor performance and how those impact the resulting system driving behavior.
• Analyze and triage pipeline results that contribute to key launch blocking metrics for software and system releases.
• Evaluate and characterize the performance of new autonomy sensors and hardware as they are integrated into the Zoox vehicle.
• Collaborate with cross-functional teams, including software developers, hardware engineers, systems engineers, simulation developers, and safety experts, to identify and mitigate risks.
• Develop and refine test methodologies to ensure comprehensive coverage of our autonomy system's operational design domain.
• Communicate test results and analysis to stakeholders, contributing to the overall safety case and fail operational design for our robotaxi.

Qualifications

• B.S. or higher degree in Automotive Engineering, Aerospace, Robotics, Electrical, Mechanical, or Systems Engineering, or a relevant technical field
• At least 5 years of experience in systems engineering, verification, and validation, or a related role
• Experience with the development and testing of complex electro-mechanical systems
• Strong systems-level thinking and the ability to understand and navigate complex technical systems
• Ability to grapple with ambiguity and collaborate with cross functional teams
• Experience with requirements and test traceability tools such as Polarion, Jama, DOORS, or TestRails
• Proficiency with Python and SQL

Bonus Qualifications

• Experience with autonomous vehicles, robotics, or other safety-critical systems.
• Experience with simulation environments and hardware-in-the-loop (HIL) testing.
• Experience with quantitative risk assessments
• Familiar with AB Dynamics test equipment
• Experience with Linux Systems, OxTS
• Familiarity with scala

$152,000 - $239,000 a year

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.

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 [email protected] 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.