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.
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 [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.
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Zoox was founded to make personal transportation safer, cleaner, and more enjoyable—for everyone. To achieve that goal, the team created a whole new form of transportation. Zoox will provide mobility-as-a-service in dense urban environments.
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