Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities. We are seeking an Engineering Manager to lead a validation team that’s proving the safe performance of our robot in a variety of driving scenarios.
In this role, you will lead a team of validation engineers that leverage methods including log data analysis, simulation, and closed course structured testing. You’ll work cross functionally with driving software teams, software tool teams, test operators, systems engineers, proving ground operators, and more to develop, execute, and iterate on your validation campaigns. These campaigns will prove the rigor of our safety critical system, are highly visible, and are an important critical path element of launching our service. The ideal candidate not only brings technical expertise and leadership to the role, but also provides mentorship, drives clarity from ambiguity, brings new processes into existence, scopes projects, sets priorities, and propels the company forward.
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 $205,000 to $227,000. 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.
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com 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.