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.
We are looking for a Principal Systems Engineer to lead the design and assurance efforts for overall safety and fail-operational initiatives. In this highly visible position, you will lead technical programs with cross-functional teams, defining, developing, and continuously refining the methodology for measuring and optimizing safety and fail-operational metrics. You will serve as a trusted technical partner for the Senior Director of System Design and Mission Assurance, at times representing the Senior Director in leadership meetings.
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:
Define and refine the strategy and architecture for the Systems Engineering efforts that guide Zoox’s approach to safety and fail-operational initiativesLead and oversee the definition, development, and evolution of safety and fail-operational metrics that measure the robotaxi’s ability to safely complete customers’ journeysReview and approve mission assurance clearance documentsCommunicate complex metric concepts, data analyses, and actionable insights to diverse stakeholders and executivesCoach and mentor SDMA systems engineers, fostering their career growth and strengthening SDMA’s technical bench
Qualifications
M.S. or higher degree in an Engineering, Computer Science, or a related fieldAt least 10 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-driven approaches for the design and development of complex software or hardware systemsProficiency in statistics and probabilityHands-on experience working with 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
Ph.D. in Engineering, Computer Science, or a related fieldSystems engineering experience with large complex safety-critical systemsMetrics development experienceExperience in automotive industry Experience with autonomous driving or roboticsFamiliarity with industry safety standards such as ISO 26262, ISO 21448, MIL-STD-882, etc.
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 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.