In this role, you will:
- Design principled algorithmic improvements across different driving behavior categories and implement those changes in our code base.
- Use our extensive backend tooling to test your changes across many different driving scenarios at the press of a button.
- Lead on-vehicle drive reviews to generate actionable feedback on driving performance. Use this experience to help the team learn and make improvements.
- Attend conferences and survey literature to stay informed on the most recent developments in the fields of Robotics and Motion Planning.
- Write and file patents for novel technologies you develop.
Qualifications
- B.S or M.S. degree in Computer Science, Mechanical Engineering, or related field and 8+ years of experience
- Fluency in C++
- Understanding of configuration spaces and a variety of planning techniques (A*, RRTs, PRMs, etc.)
- Demonstrated ability to create real-time motion planning algorithms
Bonus Qualifications
- Experience working with planning problems related to pickup/dropoff or pullover maneuvers
- Experience with machine learning applications in motion planning
- Significant contributions to geometric- and/or sampling-based planning algorithms
Top Skills
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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