Figure is an AI Robotics company developing a general purpose humanoid. Our Humanoid is designed for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are based in San Jose, CA and require 5 days/week in-office collaboration. 

We are looking for a Manipulation Controls Engineer to design, implement, and validate high performance manipulation control algorithms for real world usage of our humanoid robot.

Responsibilities: 

• Design, implement, and test control algorithms for single and bi-manual manipulation for customer use cases
• Validate manipulation control performance, including pose and force tracking
• Perform system identification on our manipulators to increase performance and reduce gaps between simulation and real hardware
• Implement APIs for manipulation control for usage by higher level autonomy
• Help drive platform changes needed to increase manipulation capability including sensing, actuation, and kinematics

Requirements: 

• Proficiency in robotic manipulation including kinematics, dynamics, and classical control techniques such as impedance control and inverse dynamics
• Experience with motion planning for manipulation
• Expertise in modern C++ and Python
• Experience hardening control algorithms on real robotic hardware and working with real sensors (e.g. encoders, IMUs)

Bonus:

• Background in optimization and whole body control
• Experience with MuJoCo simulation
• Experience with legged robotic platforms