Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.
Our team is working to ensure Zoox’s hardware and software are safe for operation in the real world through the use of simulation. As part of this process, the team is responsible for designing and running large numbers of simulations to ensure Zoox’s hardware and software operate as expected.
In this role, you will help us scale to meet future milestones by automating complex processes, architecting systems to be robust, efficient and cost-effective, steering design and implementation decisions, and helping the team identify future system-level limitations. You should expect to work with cross-functional partners across simulation, infrastructure, planning and perception among others.
You will be responsible for enabling critical metrics that drive company-level decisions for the deployment of our driverless robots on public roads.
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 $210,000 to $303,000. 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.
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. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to
[email protected] or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
In this role you will:
Build, integrate, and validate tools to automate the assessment of simulation realism and event validityDevelop agent models cross-functionally with teams in SDMA and SimulationSynthesize large scale results in dashboards for consumption by key stakeholders including AI developers and executivesLead complex, cross-functional projectsQualifications
8+ years of industry experience in data-driven algorithm and metrics development that inform decision makingExperience with shipping large scale automation workflowsBS/MS in Computer Science or equivalent experienceFluency in production-level PythonGood cross-functional communications of complex subjectsBonus Qualifications
Experience in Scala, Spark, and/or Databricks or similar toolsExperience with autonomous vehicles