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Zoox

Systems Engineer, Motion Controls Safety

Compensation
$194K–$244K / yr
Location
Foster City, CA, US
Arrangement
Hybrid
Employment type
Full-time
Posted
29 October 2026 (3 days ago)

Checked 2 days agoApplications go to the employer, never to RoleSprint

About this role

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: • Perform safety analysis and define performance requirements for our motion planning and control systems as our Operational Design Domain (ODD) grows, covering different road/environmental conditions and degraded driving modes.

• Build and extend fault injection simulations to determine how quickly the vehicle must detect and respond to faults in new ODDs and on next-generation platforms, with the goal to inform safety requirements and specifications.

• Support simulation pipelines that verify AI driving safety, including setting requirements for the vehicle dynamics models they rely on.

• Partner with software, hardware and verification and validation teams to ensure that requirements are met through rigorous SIL, HIL and on-vehicle testing.

• Leverage the latest AI and LLM tools to accelerate the analysis work and automate processes to reduce repetitive manual work.

Qualifications • Master’s degree or higher in Robotics, Automotive, Mechanical, Electrical Engineering, or a related field, with 4+ years of relevant experience.

• Hands-on experience with vehicle motion control systems development.

• Experience building or using simulations to analyze vehicle dynamic behavior and inform motion control requirements.

• Strong analytical skills in quantitative analysis and modeling, performance metrics definition, and system-level trade-off analysis.

• Excellent technical communication and documentation abilities, with demonstrated success working with cross-functional teams in complex technical environments.

Bonus Qualifications • Experience with autonomous vehicle development or similar complex robotics systems.

• Familiarity with requirements management tools (e.g., Polarion, DOORS).

• Experience with vehicle dynamics modeling and simulation-based safety verification.

• Familiarity with ISO 26262, ISO 21448, and other industry safety standards.

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.

Work location

  • Foster City, CA, US

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About this listing

Advertised by Zoox and published on Lever, the applicant tracking system they use.

RoleSprint is not the employer and not a recruiter. Applications are made on the employer’s own site and never reach us; what RoleSprint does is help you decide whether a role is worth your time and prepare for it if it is.

Published 29 October 2026, last checked 2 days ago. A posting stops being advertised here 90 days after the employer published it, and one the employer takes down is marked closed rather than quietly removed.

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