Manager, Localization

2 Months ago • All levels • $230,000 PA - $289,000 PA

Job Summary

Job Description

Zoox is reinventing personal transportation to make it safer, cleaner, and more enjoyable, focusing on urban environments with their unique bidirectional driving and four-wheel steering vehicles. The CLAMS Localization team develops on-vehicle software for position and motion estimation. This role is for a manager to lead a sub-team within Localization, focusing on offline systems for development and testing, and ensuring seamless integration into operational workflows. Responsibilities include developing roadmaps, strategic planning, managing technical goal delivery, and guiding technical and career development of team members, along with providing overarching technical guidance on system architecture and algorithm development.
Must have:
  • Experience with state estimation / SLAM systems
  • Experience leading a team of engineers
  • Software engineering experience in C++ and Python
Good to have:
  • Experience with scaling software systems
  • Experience with large scale software infrastructure
Perks:
  • Paid time off
  • Zoox Stock Appreciation Rights
  • Amazon RSUs
  • Health insurance
  • Long-term care insurance
  • Long-term and short-term disability insurance
  • Life insurance

Job Details

We’re reinventing personal transportation—making the future safer, cleaner, and more enjoyable. We’ve created our vehicle specifically for dense, complicated urban environments. Zoox is the only driving vehicle on the market with bidirectional driving capabilities and four-wheel steering, allowing us to maneuver through compact spaces and change directions without the need to reverse. The future is for riders!

Our CLAMS organization 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. We create novel architectures that combine the latest academic results with many in-house innovations in creative ways. Our algorithms are relentlessly optimized and tuned to run efficiently and effectively on a wide variety of real-life data as well as in simulation.

The CLAMS Localization team develops on-vehicle software for estimating the vehicle's position and motion. This role is for a manager to lead a sub-team within Localization, focused on offline systems used for developing and testing the on-vehicle software, as well as ensuring the seamless integration of the system into operational work flows.

In this role, you will

  • Develop roadmap and handle strategic planning for the team.
  • Manage the delivery of technical goals of the team.
  • Manage the technical and career development of the team members.
  • Provide overarching technical guidance including system architecture and algorithm development.

Qualifications

  • Experience with state estimation / SLAM systems, ideally with camera and/or lidar components
  • Experience leading a team of engineers to deliver high level technical goals, ideally 3 reports or more
  • Software engineering experience in C++ and Python

Bonus Qualifications

  • Experience with scaling software systems to large scale operations
  • Experience with large scale software infrastructure 
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 $230,000-$289,000. 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.

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About The Company

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

Foster City, California, United States (Hybrid)

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Foster City, California, United States (On-Site)

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