Senior Systems Engineer - Residual Risk Analysis

Zoox

2600

Foster City, CA, United States

Posted on: 2025-03-19

Category: emobility

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Employment type:

Full time

Experience required:

Senior

Salary

Salary not provided

About the company:

Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.

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.

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.

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

BS/MS and 7+ years of experience

Quantitative modeling work with proven track record

Knowledge in performance metrics in auto industry, autonomous driving, consumer electronics

Good communication skills (writing, presentation and verbal communication)

Analytical experience in Databricks, Google Sheet, and Python

Bonus Qualifications

Metrics ownership in autonomous driving is a plus

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