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.
We are looking for a Senior Systems Engineer to drive the technical evolution of the Fail Operations metrics, frameworks, and processes. In this role, you will lead the refinement of how Zoox categorizes, estimates, and tracks autonomous driving performance events, working closely with cross-functional partners across Data Science, SDMA, Software and Operations. You will serve as a key technical partner to SDMA’s metrics leadership, shaping the methodology that underpins Zoox’s assessment of readiness to scale.
In this role, you will:
Own and evolve the core Fail Operational metric framework for quantifying, severity-ranking, and systematically driving down autonomous-mission stoppage and degradation events, including category definitions, classification methodology, and triage criteria used to identify and assess mission-critical events across all driving behavior domains
Lead Fail Operational metric target-setting for new and existing milestones, authoring supporting documentation and consolidating inputs across metric categories to assess overall readiness for milestone closure
Drive the evolution of the Fail Operational metric architecture, ensuring alignment with current priorities and operational needs
Develop process for reviewing observed events, mapping to seen failure modes or confirming as new, and integrating those observations into estimations to drive business priorities.
Partner cross-functionally with Software, Hardware, and Operations teams to escalate issues, identify mitigations, evaluate emerging risks from testing pipelines, and support delivery of features that improve performance metrics
Communicate complex metric concepts, data analyses, and actionable insights to diverse stakeholders and executives, translating technical findings into clear recommendations that inform decision-making
Qualifications
B.S. or higher degree in Systems Engineering, Computer Science, Electrical Engineering, Applied Mathematics, or a related field
5+ years of relevant professional experience in systems engineering, data analysis, performance tracking, risk quantification, or fault management for complex and safety-critical systems
Demonstrated experience defining, implementing, and managing quantitative metrics and data-driven frameworks, with proficiency in probability, statistics, and Python for large-scale data analysis
Strong understanding of fault detection, categorization, and severity assessment methodologies, with experience developing technical frameworks, taxonomies, or classification systems
Excellent technical communication and documentation abilities, with a collaborative approach to influencing, driving consensus, and leading cross-functional initiatives
Bonus Qualifications
M.S. or Ph.D. in Engineering, Computer Science, or a related field
Systems engineering or system safety experience with autonomous driving, robotics, or fleet-scale vehicle operations
Experience with fail-operational design, fault tolerance, or fault management in safety-critical domains, including familiarity with hazard analysis methods such as STPA, FTA, FMEA, or FHA
Metrics ownership experience and knowledge of industry safety standards such as ISO 26262, ISO 21448, MIL-STD-882
Experience building processes from conception to implementation at scale
Skills Required
- B.S. or higher degree in Systems Engineering, Computer Science, Electrical Engineering, Applied Mathematics, or related field
- 5+ years of relevant professional experience in systems engineering, data analysis, performance tracking, risk quantification, or fault management for complex safety-critical systems
- Demonstrated experience defining, implementing, and managing quantitative metrics and data-driven frameworks
- Proficiency in probability and statistics for large-scale data analysis
- Proficiency in Python for large-scale data analysis
- Strong understanding of fault detection, categorization, and severity assessment methodologies
- Excellent technical communication and documentation abilities and collaborative cross-functional influence
- M.S. or Ph.D. in Engineering, Computer Science, or related field
- Systems engineering or system safety experience with autonomous driving, robotics, or fleet-scale vehicle operations
- Experience with fail-operational design, fault tolerance, or fault management and familiarity with STPA, FTA, FMEA, FHA
- Metrics ownership experience and knowledge of industry safety standards such as ISO 26262, ISO 21448, MIL-STD-882
- Experience building processes from conception to implementation at scale
Zoox Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zoox and has not been reviewed or approved by Zoox.
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Healthcare Strength — Healthcare is extensive, with broad medical and vision options, company‑paid disability coverage, and multiple mental‑health resources. Feedback suggests coverage breadth and auxiliary programs support a wide range of needs.
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Parental & Family Support — Family supports include paid parental leave, additional pregnancy disability time, fertility coverage, and adoption/surrogacy assistance. Backup care and family‑oriented programs further reinforce support across life stages.
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Wellbeing & Lifestyle Benefits — Day‑to‑day perks are robust, including free daily meals, fitness subsidies, commuter support, and on‑site amenities. Feedback suggests these lifestyle benefits enhance convenience and workplace experience, especially for office‑based roles.
Zoox Insights
What We Do
Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.
Why Work With Us
At Zoox, we are working to solve one of the greatest technological challenges of our generation. From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.
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