About the position
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.
Responsibilities
- Build, integrate, and validate tools to automate the assessment of simulation realism and event validity
- Develop agent models cross-functionally with teams in SDMA and Simulation
- Synthesize large scale results in dashboards for consumption by key stakeholders including AI developers and executives
- Lead complex, cross-functional projects
Requirements
- 8+ years of industry experience in data-driven algorithm and metrics development that inform decision making
- Experience with shipping large scale automation workflows
- BS/MS in Computer Science or equivalent experience
- Fluency in production-level Python
- Good cross-functional communications of complex subjects
Nice-to-haves
- Experience in Scala, Spark, and/or Databricks or similar tools
- Experience with autonomous vehicles
Benefits
- 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
- Life insurance
