Systems Engineer, Motion Controls Safety
Summary
Systems engineer at Zoox performing safety analysis for autonomous-vehicle motion planning and control systems: defining performance and safety requirements as the robotaxi's operating domain grows, building fault-injection and vehicle-dynamics simulations, and verifying requirements via SIL, HIL, and on-vehicle testing, with AI/LLM tooling used to automate analysis.
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:
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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.
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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.
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Support simulation pipelines that verify AI driving safety, including setting requirements for the vehicle dynamics models they rely on.
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Partner with software, hardware and verification and validation teams to ensure that requirements are met through rigorous SIL, HIL and on-vehicle testing.
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Leverage the latest AI and LLM tools to accelerate the analysis work and automate processes to reduce repetitive manual work.
Qualifications
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Master’s degree or higher in Robotics, Automotive, Mechanical, Electrical Engineering, or a related field, with 4+ years of relevant experience.
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Hands-on experience with vehicle motion control systems development.
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Experience building or using simulations to analyze vehicle dynamic behavior and inform motion control requirements.
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Strong analytical skills in quantitative analysis and modeling, performance metrics definition, and system-level trade-off analysis.
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Excellent technical communication and documentation abilities, with demonstrated success working with cross-functional teams in complex technical environments.
Bonus Qualifications
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Experience with autonomous vehicle development or similar complex robotics systems.
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Familiarity with requirements management tools (e.g., Polarion, DOORS).
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Experience with vehicle dynamics modeling and simulation-based safety verification.
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Familiarity with ISO 26262, ISO 21448, and other industry safety standards.
Skills
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