Our groups mission is to design prototype and produce novel methods and tools for efficient modeling and simulations of complex systems at scale. These tools aid in measuring the safety of our AI and readiness for launch. We use recent advances in machine learning statistics optimization and numerical methods to verify and validate our software and AI in the most challenging environments and subsequently develop tools to enable other teams at Zoox to do the same.
We are looking for an experienced system triage engineer who can evaluate and synthesize AI-driving performance in large-scale simulation this role you will be responsible for running the weekly triage process. This entails coordinating the team members involved in the steps of the triage process providing expert triage of simulation results reviewing the quality of triage results and distilling results for communication with AI developers and executives. You will work cross-functionally with engineers in AI simulation infrastructure and data science to provide reliable and trusted measures of AI performance. You will recommend improvements that can be made to the triage process in terms of tooling or automation. You will document issues in the driving software simulator or scenario definitions and work with the appropriate teams to get these issues resolved.
In this role you will:
Run the triage process on a regular basis
Perform expert triage on events daily
Effectively categorize and prioritize issues based on severity urgency and potential impact on safety and performance
Identify trends in system failures and work cross-functionally to align AI performance metrics
Develop and maintain objective triage processes
Recommend improvements to the triage process and tools (including AI tools and automation)
Qualifications
5 years of experience in systems troubleshooting and diagnostics preferably in the automotive or other industry where safety is critical
Experience in a Quality Assurance or Triage role for Autonomous Driving
Experience with Git Agile methodologies and scripting/programming languages (preferably Python)
Bonus Qualifications
Experience with root causes analysis of an autonomous vehicle stack
$122000 - $185000 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:
IC
Our groups mission is to design prototype and produce novel methods and tools for efficient modeling and simulations of complex systems at scale. These tools aid in measuring the safety of our AI and readiness for launch. We use recent advances in machine learning statistics optimization and numeric...
Our groups mission is to design prototype and produce novel methods and tools for efficient modeling and simulations of complex systems at scale. These tools aid in measuring the safety of our AI and readiness for launch. We use recent advances in machine learning statistics optimization and numerical methods to verify and validate our software and AI in the most challenging environments and subsequently develop tools to enable other teams at Zoox to do the same.
We are looking for an experienced system triage engineer who can evaluate and synthesize AI-driving performance in large-scale simulation this role you will be responsible for running the weekly triage process. This entails coordinating the team members involved in the steps of the triage process providing expert triage of simulation results reviewing the quality of triage results and distilling results for communication with AI developers and executives. You will work cross-functionally with engineers in AI simulation infrastructure and data science to provide reliable and trusted measures of AI performance. You will recommend improvements that can be made to the triage process in terms of tooling or automation. You will document issues in the driving software simulator or scenario definitions and work with the appropriate teams to get these issues resolved.
In this role you will:
Run the triage process on a regular basis
Perform expert triage on events daily
Effectively categorize and prioritize issues based on severity urgency and potential impact on safety and performance
Identify trends in system failures and work cross-functionally to align AI performance metrics
Develop and maintain objective triage processes
Recommend improvements to the triage process and tools (including AI tools and automation)
Qualifications
5 years of experience in systems troubleshooting and diagnostics preferably in the automotive or other industry where safety is critical
Experience in a Quality Assurance or Triage role for Autonomous Driving
Experience with Git Agile methodologies and scripting/programming languages (preferably Python)
Bonus Qualifications
Experience with root causes analysis of an autonomous vehicle stack
$122000 - $185000 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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