Systems Engineer

Zoox is on an ambitious journey to develop a full-stack autonomous robotaxi and safely deploy a transformative mobility solution for cities. Zoox’s System Design and Mission Assurance (SDMA) team constructs the Safety Case and validates that our vehicles are safe enough to be deployed for autonomous driving. SDMA enables Zoox to rapidly iterate and safely expand capabilities through trustworthy, innovative, and pragmatic safety engineering. We seek Systems Engineers interested in expanding their knowledge and gaining hands-on experience in autonomous vehicle systems and system safety. As a Systems Engineer on the SDMA team, you will work closely with experienced mentors and have the opportunity to learn and contribute to the design, integration, and optimization of cutting-edge technologies. You will have the opportunity to learn new skills ranging from system safety, to functional safety, system verification and validation, and more.

• Work with SDMA colleagues and cross-functional partner teams to understand and contribute to the definition of safety requirements
• Work closely with experienced engineers to troubleshoot and perform root cause analysis to identify and resolve system-level issues related to safety
• Ensure end-to-end traceability to produce a close-loop Safety Case by contributing to documentation efforts (including system specification, requirements, design documents, and verification and validation testing reports)
• Collaborate with internal and external stakeholders to ensure system requirements and desired functionality are achieved

• Bachelor’s or higher degree in Engineering or a related field
• At least 3 years of industry experience or relevant PhD
• Experience in systems engineering, quantitative analysis, reliability engineering, or other system design fundamentals
• Strong math and analytical skills, particularly with probability theory and its real-life applications
• Ability to write clear, concise, and verifiable requirements

• Experience with at least one project across its full development cycle
• Experience with requirements and test traceability tools (e.g. Polarion, Jama, DOORS, or TestRails)
• Familiarity with safety standards and regulations related to autonomous vehicles (e.g. ISO 26262, SOTIF)

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 $131,000 to $215,000. 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.

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to 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.