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About the Job
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.
High-definition 3D maps are a critical tool for enabling autonomous driving and as a Manager of the 3D Mapping team you will collaborate in building a highly automated, scalable, multi-modality, 3D mapping system. Our Mapping Data Preprocessing team is at the forefront of the entire mapping process. Your team will be responsible for ensuring that raw data is sufficient, for estimating initial pose estimates, and for creating and caching some of the fundamental data products needed for creating and maintaining maps.
In this role, you will:
Own the data preprocessing pipeline
Own the ingest process that runs on newly collected data
Own the creation and validation of input data products to the sparse node mapping pipeline
Own the validation process that runs on raw input data
Own the testing and evaluation of per-log pose estimation
Qualifications
1+ years of engineering management experience
Excellent C++ skills and experience with production software
Experience with non-linear state estimation / SLAM
Experience designing metrics and validating algorithms
Experience handling large data sets efficiently and working with spatial data structures
Bonus Qualifications
Familiarity with camera, lidar, and radar data
Familiarity with robust estimation techniques
Experience in database design
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 $221,000 to $319,000. 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 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.
About the Company

Zoox
Zoox is developing the first fully electric autonomous vehicles to support low-carbon transportation and to decrease congestion and reliance on individual car ownership in urban areas.
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