> Markdown version of [/jobs/ext/4604255-software-engineer-motion-planning](https://www.wearedevelopers.com/jobs/ext/4604255-software-engineer-motion-planning). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - Motion Planning - **Company:** Zoox - **Location:** San Mateo, CA, United States - **Salary:** $168,000 - $270,000 - **Contract:** Permanent contract - **Skills:** Nvidia CUDA, Machine Learning, Motion Planning, Backend, Information Technology, Data Analytics, Pose Estimation - **Published:** November 6, 2026 - **Apply:** https://www.juju.com/job/7_B7E8ECE426F497D99F67EEE639871B30 ## About the Role 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.QualificationsMaster's degree in Computer Science or related field and relevant experienceFluency in C++Understanding of configuration spaces and a variety of planning techniques (A*, RRTs, PRMs, etc.)Demonstrated ability to create real-time motion planning algorithmsBonus QualificationsSignificant contributions to geometric- and/or sampling-based planning algorithmsExperience with autonomous robots and machine learning or data-driven development processesExperience with ROS, pose estimation, SLAM, probabilistic filtering, 3D data, or CUDA$168,000 - $270,000 a yearBase Salary RangeThere are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. ## Description 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.