Software Engineer - Motion Planning Menlo Park, CA Engineering Full-time Apply for this job About Zoox Zoox is developing fully autonomous vehicles and the supporting ecosystem required to bring the technology to market at scale. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We believe the transition to self-driving vehicles requires a combination of elegant vision and uncompromising execution. The Role At Zoox, you’ll collaborate with a team of world-class engineers with diverse backgrounds in areas such as AI, robotics, mechatronics, planning, machine learning, control, localization, computer vision, rendering, simulation, distributed computing, design, and automated testing. You'll learn new technologies while building software that affects the real world. Working at a startup gives you the chance to manifest your creativity and make a big difference in the final product. Decision making and motion planning are the primary responsibilities of mobile robots. Taking input from a variety of perception and localization systems, the planner's job is to figure out where we're going and how to get there safely. You should be passionate about developing planning architectures and working on motion planning algorithms for dynamic environments. We're looking for an engineer with an advanced degree and experience building realtime motion planning / trajectory generation algorithms for robots in uncertain environments. This will be a challenging but extremely rewarding job. If you want to solve hard problems and make incredible software with us, please apply. What you'll need Masters degree in computer science or related field Fluency in C / C++ Understanding of configuration spaces and a variety of planning techniques (A*, D*, RRTs, etc.) Demonstrated ability to create realtime motion planning algorithms Extensive experience with programming and algorithm design Strong mathematics and geometrical skills Bonus Points PhD in computer science or related degree Publications in your field Significant contributions to geometric- and/or sampling-based planning algorithms Experience with autonomous robots Knowledge of compute vision techniques and machine learning Experience with pose estimation, SLAM, probabilistic filtering, and 3D data Solid understanding of ROS Apply for this job
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