Manager, Localization

Reposted 5 Days Ago
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Foster City, CA
Hybrid
242K-333K Annually
Senior level
Artificial Intelligence • Machine Learning • Robotics • Software • Transportation • Design • Manufacturing
Zoox is an autonomous mobility company that’s created a purpose-built robotaxi to give the world a better way to ride.
The Role
Manage a sub-team focused on offline systems for on-vehicle software. Oversee strategic planning, delivery of technical goals, and mentor team members.
Summary Generated by Built In
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 the 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 workflows.

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 

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.

Follow us on LinkedIn

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.

Top Skills

C++
Python
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The Company
HQ: Foster City, CA
2,500 Employees
Year Founded: 2014

What We Do

Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.

Why Work With Us

At Zoox, we are working to solve one of the greatest technological challenges of our generation.
From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.

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