Senior Motion Planning and Navigation Engineer, Figure

• Have experience implementing, testing, and deploying motion planning and navigation solutions in C++ and/or Python on real robots
• Understand both traditional and machine learning approaches to motion planning and navigation, and the tradeoffs between various techniques
• Be capable of quickly writing massive amounts of high quality and well-tested motion planning and navigation software
• Possess both a theoretical understanding and have practical experience with motion planning and navigation algorithms
• Have a deep knowledge of state of the art techniques, data structures, and software tools
• Thrive in a high-paced environment, where solutions are often unclear and require exploration

Desirable

• Our AI team is looking for Motion Planning and Navigation Engineers to empower Figure humanoid robots with the ability to avoid getting stuck while moving throughout a world designed for humans
• Design, implement, test, and deploy motion planning and navigation algorithms for humanoid robots. These will include generating body paths, footsteps and handholds, collision-free arm trajectories, and grasps
• Assist in planning algorithms for high-level decision making
• Develop and use modern software engineering techniques to implement high quality, well-tested software that will be deployed to the real world
• Evaluate potential motion planning and navigation solutions and make design trade offs and decisions based on robot requirements
• Collaborate with other Figure team members to develop and implement a full autonomy stack that behaves safely under uncertainty
• Work with the Figure Integration and Testing team to continuously evaluate and improve your motion planning and navigation software