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Salary
$177k – $283k per year
Location
Remote/Hybrid (Foster City, United States)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Zoox is an American technology company headquartered in Foster City, California, that was founded in 2014. The company develops a purpose-built, fully autonomous electric vehicle designed specifically for ride-hailing services rather than individual ownership. Operating as an independent subsidiary of Amazon, the firm is currently testing its robotaxi fleet in several major United States cities including San Francisco and Las Vegas.

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

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