Our Calibration, Localization, and Mapping (CLAMS) team is responsible for building the algorithms and tools necessary for keeping Zoox vehicles well calibrated, always knowing where they’re located within the world, and aware of their environment. Without precise calibration, localization, and mapping our vehicles would be at a disadvantage when it comes to perceiving and reasoning about the surrounding world, and is therefore foundational in enabling results from many other teams across Zoox. This work is critical for scaling autonomous driving in a safe and reliable way.

The Road Network Interface owns road network data definition and data products for all consumers including the developer and content production workflows, in-cluster training jobs, and on-vehicle realtime access. In this role, you will develop software to identify the drivable surface of our maps, define network topology, and specify and validate the road network data format.

In this role, you will:

Utilize geometry and 3D data handling techniques to identify the drivable area of the maps our vehicles use to navigate
Design and develop essential mapping components including the data format, validation frameworks, post-processing pipelines, and interfaces consumed by downstream customers
Work cross-functionally with teams across Zoox to grow and supports APIs used by teams across Zoox
Contribute to all phases of the software development cycle including prototyping, requirements capture, design, implementation, and validation

Qualifications

Bachelors or higher in Computer Science or related field
8+ years of industry experience
Fluency in C++
Strong mathematical skills focused in geometry, trigonometry and calculus
Experience handling large data sets efficiently

Bonus Qualifications

Experience with SQL / database design
Experience working with geographic data, spatial accelerations structures, surface meshes or topography
Experience with software profiling and performance tuning

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $186,000 to $300,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.

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 [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.

Compensation Overview

In this role, you will:

Qualifications

Bonus Qualifications

6 month growth

1 year growth

2 year growth

Benefits