SeniorStaff Software Engineer Motion Planning

Zoox

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profile Job Location:

Boston, NH - USA

profile Monthly Salary: Not Disclosed
Posted on: 11 days ago
Vacancies: 1 Vacancy

Job Summary

On the Motion Planning team at Zoox youll be dedicated to improving the driving behaviors of the robot on public roads. The Planners job is to figure out where the robot is going and how to get there safely in situations as complex as those found in Downtown San Francisco or on the Las Vegas Strip.

This is a cutting-edge problem which requires teamwork and collaboration across a broad set of experts spanning Planner Perception Prediction Operations and more. Together you will create the next generation of algorithmic improvements to expand our robots ability to drive in some of the most complex situations found on public roads.

Safety is foundational at Zoox so you will take a measured approach develop a principled modification to the Planner test in simulation and on closed courses and team up with our safety drivers for on-road testing.

In this role you will:

    • Create principled algorithmic improvements to specific areas of driving behavior and implement those changes in our code base.
    • Use our extensive backend tooling to test your changes across many different driving situations 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

    • Masters degree in Computer Science 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

    • Significant contributions to geometric- and/or sampling-based planning algorithms
    • Experience with autonomous robots and machine learning or data-driven development processes
    • Experience with ROS pose estimation SLAM probabilistic filtering 3D data or CUDA
$229000 - $331000 a year
Base Salary Range


There are three major components to compensation for this position: salary Amazon Restricted Stock Units (RSUs) and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling as well as positioning within a level is determined by a range of factors including but not limited to a candidates relevant years of experience domain knowledge and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave vacation bereavement) unpaid time off Zoox Stock Appreciation Rights Amazon RSUs health insurance long-term care insurance long-term and short-term disability insurance and life insurance.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Required Experience:

Staff IC

On the Motion Planning team at Zoox youll be dedicated to improving the driving behaviors of the robot on public roads. The Planners job is to figure out where the robot is going and how to get there safely in situations as complex as those found in Downtown San Francisco or on the Las Vegas Strip.T...
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Key Skills

  • Design
  • Illustration
  • Automotive
  • Drafting
  • Android Development
  • Application Support

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We’re reinventing personal transportation—making the future safer, cleaner, and more enjoyable for everyone. This is on-demand autonomous ride-hailing.

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