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Zoox

Robot type
Autonomous Vehicle
Location
Foster CityCaliforniaUSA
Job type
Hardware
Posted
Jul 15, 2026
Salary
$194,000–$306,000 a year
Full-time

Senior Systems Engineer, Fail Operational Safety Strategy

Job description

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.

Job responsibilities

  • Define and own the fail operational safety strategy and roadmap for expanding into new operating environments and Operational Design Domains (ODDs).
  • Design and maintain fault response strategies that keep the vehicle safe and operational during malfunctions, including decision-making logic that selects the appropriate action based on the nature and severity of the…
  • Build a framework for assessing the effectiveness of fault handling and recovery in new ODDs, defining key metrics for system resilience and safety while using data analysis and automation to drive continuous…
  • Partner closely with software, hardware engineering teams, and operations to ensure a holistic approach to system safety and fault tolerance, translating complex technical concepts for diverse audiences.
  • Leverage the latest AI and LLM tools to accelerate the analysis work and automate processes to reduce repetitive manual work.

Job requirements

  • B.S. or higher degree in Systems Engineering, Robotics, Computer Science, Electrical Engineering, or a related field, with 8+ years of relevant experience.
  • Strong systems engineering background with experience in requirements management and system architecture development.
  • Deep understanding of fault detection, isolation, and recovery techniques, including redundancy, failover, and graceful degradation strategies.
  • 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.
  • Advanced degree (M.S. or Ph.D.) in a relevant field.
  • Experience with autonomous vehicle development or similar complex robotics systems.
  • Familiarity with requirements management tools (e.g., Polarion, DOORS) and experience with system safety analysis and requirements validation.

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