Quantitative Risk Analysis Engineer - Performance Metrics

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SEI is bringing a systems engineering approach to the Zoox mobility-as-a-service product.  We are systems engineers working directly with other supporting ecosystem teams to develop and mature architectures, validations, tools, and processes inspired by systems engineering best practices.

This role will be responsible for building a list of granular metrics of residual operational risks. They are responsible for coming up with strategies of bringing up operational performance with the ever-increasing target for each Zoox Release, identify roadmaps towards service performance goals and work with a large cross-functional team that operates the increasing fleet size. 

In this role, you will:

  • Model the performance impact of specific robotaxi, including vehicle platform features, AI Behavior features, teleops and operations. 
  • Understand and improve the performance of existing hardware and AI software with increasing fleet size and expansion of ODD.
  • Maintain the model and improve it to ensure high prediction accuracy
  • Identify bottlenecks of performance and ensure the cross-functional effort in following up the improvement plan
  • Communicate the model outcome to cross functional teams and executives, work closely with other quantitative research teams at Zoox.
  • Qualifications

  • M.S. or higher degree in an Engineering or Science discipline with a strong focus on Statistics, Probability Theory, or Data Science
  • Proficiency in quantitative analysis/modeling tools
  • Have the ability to use Python to interface with Zoox-internal driving- and simulation data sources
  • 5+ years relevant work experience in understanding and quantifying risks
  • Collaborative team player with strong written and in-person communication skills
  • Bonus Qualifications

  • Metrics ownership in autonomous driving or robotics is a plus
  • Compensation
    There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $190,000 to $274,000. A sign-on bonus may be offered as part of the compensation package. 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 candidate's 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 position.
     
    Zoox 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.