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 and maintaining the autonomous vehicle performance metrics introduced by new hardware, firmware, and AI software features. They will be working with a highly cross-functional team to understand and model the impact from the new features. Their work will directly contribute to Zoox’s major milestone releases and provide crucial data for executive decision making.
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:
Maintain the model and improve it to ensure high prediction accuracyCommunicate the model outcome to cross functional teams and executivesLearn, digest and model the performance of new autonomous driving featuresBalance the tradeoff between capabilities and performance
Qualifications
BS/MS and 7+ Years of experienceQuantitative modeling work with proven track records Excellent data analysis, cross-functional communication, and presentation skillsKnowledge in performance metrics in the auto industry, autonomous driving, consumer electronicsAnalytical experience in Databricks, Google Sheet, and Python
Bonus Qualifications
Metrics ownership in autonomous driving is a big plusSolid technical Background in one or more of the following areas: vehicle engineering, AI software, Perception (SW or HW)