Senior Technical Program Manager - Verification and Validation

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

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. 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.

Partner with Autonomy V&V engineering managers to translate the top-down corporate strategy and milestones into detailed product roadmaps, timelines, and deliverables

You'll drive and support teams of software engineers and data engineers/scientists to stand up cutting-edge evaluation pipelines leveraging statistics, simulation, and other methods

You'll play a defining role in building scalable systems that improve how we evaluate autonomy behavior at Zoox

You'll work with cross-functional stakeholders to proactively identify gaps, escalate risks, drive bug closure, and contribute to  test coverage tracking

You'll be a trusted partner to engineering leadership and the go-to person for unblocking teams and driving solutions

Experience with AI/ML, autonomous vehicles, computer vision, large language models, reinforcement learning, simulation, and/or automotive or aerospace processes is highly desired

Experience working on complex safety-critical systems