Manager, Motion Planning

Zoox

2600

Foster City, CA, United States

Posted on: 2025-08-11

Category: emobility

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Employment type:

Full time

Experience required:

Intermediate

Salary

Salary not provided

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.

The Planner Interactions team is responsible for developing driving behaviors of the mobile robot, balancing safety, comfort, and progress. Planner Interactions emphasizes computationally efficient, simple, principled, and scalable approaches. The team handles their interactions with each other and other parts of the autonomy stack. We are looking for an experienced manager who is passionate about the exciting challenges involved in motion planning and decision making.

In this role, you will:

You will lead the team of engineers on Planner Interactions, leveraging technical and managerial skills to deliver high-impact results

You will set the short and long term technical direction for the team and collaborate on the broader company-wide directions

You will collaborate with the team members in technical design considerations, implementation, and on-vehicle testing

You will coordinate cross-functional initiatives with other teams across Motion Planning, Prediction, Perception, and CAS

You will grow the team through hiring and guide the continued professional development of team members

Qualifications

Master’s or PhD in computer science, robotics, or a related field

7+ years of hands-on experience developing complex robotic systems or relevant software

Fluency in C / C++

Excellent communication and problem-solving skills

Prior engineering management experience with complex robotic systems

Extensive experience architecting and implementing motion planning algorithms

Bonus Qualifications

Experience with autonomous vehicles

Experience with reinforcement learning on physical systems

Familiarity in all or some of: trajectory optimization, search-based planning, Integration of prediction and planning, costs, risk assessment, multi-objective formulations

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