Zoox is looking for a collaborative planning software engineer to join our Planning and Control team. In this role, you will help us develop planner behavior and trajectories in collaboration with remote guidance and write on-vehicle C++ components that integrate human guidance into the execution of our robot. You’ll solve the most complex and challenging edge cases for autonomous systems that are absolutely crucial to enabling Zoox’s mission.
- Bachelor's degree in computer science or related field
- Fluency in C++
- Experience with robotics, motion planning, or controls
- Extensive experience with programming and algorithm design
- Master's degree in computer science or related degree
- Solid understanding of ROS or similar
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. 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’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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.