Zoox
Senior / Staff Software Engineer - Motion Planning
Hybrid · Foster City, CA
This hybrid role accepts applicants from: United States.
Locations: Foster City, CA · Boston, MA
PeopleSeek Talent does not submit applications. The button opens the employer's own page; this listing was verified 5 hours ago.
PayUSD 254,000 – 350,000 per year
Work arrangementHybrid
Who can applyPeople in United States
LevelLead
TypeFull time
Occupationsoftware developer
LanguageNot stated
Posted
Last verified
StatusActive
About the role
On the Motion Planning team at Zoox, you’ll be dedicated to improving the driving behaviors of the robot on public roads. The Planner's 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 robot’s 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.
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AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
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
- Master's degree in Computer Science or a 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
Follow us on LinkedIn
AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
Qualifications
- Master's degree in Computer Science or a 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
- 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
Listed via Zoox · first seen · last verified
