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Salary
$254k – $366k per year
Location
Remote/Hybrid (Foster City, United States)
Seniority
Staff · 9+ 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.

The Behavior Capabilities opportunity falls within the Fail Operational Planning team at Zoox. This team works to ensure that the robot continues to operate effectively, even in the presence of minor compartmentalized failures or degraded capabilities. The focus of the team includes developing behavioral and motion planning algorithms to improve trip progress, vehicle uptime metrics, and correspondingly a better customer experience. This is a cutting-edge problem which requires teamwork and collaboration across a diverse group of experts including Planner, Perception, Prediction, Hardware, and more.

On this team, you will contribute to the next generation of algorithmic advancements to expand our robot’s ability to drive in some of the most complex scenarios. We are looking for an engineer who is excited to understand the interdependencies within the driving stack and takes ownership of their projects and has a holistic product focused approach towards development.

In this role, you will:

  • Create principled algorithmic improvements to specific areas of driving behavior and implement those changes in our code base.
  • Collaborate cross-functionally to develop strategies and intelligent behaviors to mitigate the performance degradation under various failure modes of the system.
  • Architect and implement scalable solutions ensuring seamless integration with the rest of the driving stack.
  • Partner with validation teams to define and execute tests for developed algorithms.

Qualifications:

  • Master's degree in Computer Science or related field and 9+ years of experience
  • Fluency in C++
  • Extensive experience with programming and algorithm design
  • Understanding of vehicle kinematics

Bonus Qualifications

  • PhD in Computer Science, Electrical Engineering, Mechanical Engineering, or related field
  • Experience shipping products to market (commercial robotics, drones, consumer devices etc.)
  • Demonstrated ability to create real-time motion planning algorithms in a cross-functional team
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