Systems Engineer, Motion Controls Safety

Zoox is hiring a Systems Engineer, Motion Controls Safety in Foster City, United States. It pays $194k-$244k a year and Level rates it ; you can apply on Zoox.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
Level classes it as a mid-level role.
Zoox has 226 other open roles on Level.
Posted in the last few days.

AI in 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 ZooxZoox 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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AccommodationsIf 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.

How we rate this

Systems Engineer, Motion Controls Safety at Zoox rates 22 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.