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 companys 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 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 SDMAs metrics leadership shaping the methodology that underpins Zooxs 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
$185000 - $291000 a year
Base Salary Range
There are three major components to compensation for this position: salary Amazon Restricted Stock Units (RSUs) and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling as well as positioning within a level is determined by a range of factors including but not limited to a candidates relevant years of experience domain knowledge and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this also offers a comprehensive package of benefits including paid time off (e.g. sick leave vacation bereavement) unpaid time off Zoox Stock Appreciation Rights Amazon RSUs health insurance long-term care insurance long-term and short-term disability insurance and life insurance.
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. Were looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Staff IC
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 companys success responsible for constructing the safety case and fail-oper...
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 companys 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 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 SDMAs metrics leadership shaping the methodology that underpins Zooxs 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
$185000 - $291000 a year
Base Salary Range
There are three major components to compensation for this position: salary Amazon Restricted Stock Units (RSUs) and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling as well as positioning within a level is determined by a range of factors including but not limited to a candidates relevant years of experience domain knowledge and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this also offers a comprehensive package of benefits including paid time off (e.g. sick leave vacation bereavement) unpaid time off Zoox Stock Appreciation Rights Amazon RSUs health insurance long-term care insurance long-term and short-term disability insurance and life insurance.
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. Were looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
We’re reinventing personal transportation—making the future safer, cleaner, and more enjoyable for everyone. This is on-demand autonomous ride-hailing.
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