Zoox

Fully electric autonomous ride-hailing service platform

Software Engineer - Driving Behavior

Robotics & Autonomous SystemsConfirmed live in the last 24 hours

Full-timeFoster City, CA, USA$177k - $270k /yrHybrid

About the Job

Requirements

A Master's degree in Computer Science or a related field is required.
At least 3 years of professional experience is required.
Proficiency in C++ programming is required.
Proven experience in behavioral planning, motion planning, or mission planning for autonomous vehicles is required.

Responsibilities

Design behavioral and motion planning algorithms to improve driving behavior in new geofences and implement those designs in the code base.
Adapt existing algorithms and software modules for autonomous driving in new geofences.
Integrate and test developed applications in the robot, learn from the results, and make improvements.
Collaborate with cross-functional teams to support the integration and validation of software components and features for geofence expansion.
Support or lead vehicle testing to generate actionable feedback on driving performance.
Write and file patents for novel technologies developed.

Desired Qualifications

Experience with behavioral and motion planning for high-speed autonomous driving.
Experience with autonomous robots and machine learning or data-driven development processes.

Salary Range: 177000 to 270000 (Currency: USD) (Pay period: per-year-salary)

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution. This role will be a part of a team to expand Zoox’s autonomous mobility to new geofences. We are looking for a Software Engineer to improve and develop autonomous driving capabilities in new conditions.

In this role, you will:

Design behavioral and motion planning algorithms to improve driving behavior in new geofences and implement those designs in our code base.

Adapt existing algorithms and software modules for autonomous driving in new geofences.

Integrate and test your developed applications in the robot, learn, and make improvements.

Work collaboratively with cross-functional teams to support the integration and validation of software components and features for geofence expansion.

Support or lead vehicle testing to generate actionable feedback on driving performance.

Write and file patents for novel technologies you develop.

Qualifications

Master's degree in Computer Science or related field and 3+ years of experience

Proficient in C++ programming

Proven experience in at least one of the following domains: behavioral planning, motion planning, or mission planning for autonomous vehicles

Bonus Qualifications

Experience with behavioral and motion planning for high-speed autonomous driving

Experience with autonomous robots and machine learning or data-driven development processes

About the Company

Zoox

Fully electric autonomous ride-hailing service platform

Zoox designs and operates an autonomous ride-hailing service built around a purpose-built, fully electric vehicle designed specifically for autonomous operation. The vehicle uses advanced sensors, cameras, and AI to navigate complex urban environments, offering a four-passenger interior for comfort. Unlike competitors that retrofit existing cars, Zoox engineers both the vehicle and the service from the ground up, enabling optimized safety, efficiency, and passenger experience through integrated software that optimizes routing and reduces wait times. The company emphasizes safety through extensive testing and regulatory collaboration, and sustainability via electric mobility. The ultimate goal is to provide a smarter, safer, and more efficient urban transportation system that improves city life while reducing emissions.

Company size: 5,001-10,000
Company stage: Acquired
Total funding: $1.2B
Headquarters: Menlo Park, CA
Founded: 2014

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