The Role
The Manipulation Controls Engineer designs, implements, and validates algorithms for humanoid robot manipulation, ensuring performance and system identification to bridge simulation and hardware gaps.
Summary Generated by Built In
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
Top Skills
C++
Mujoco
Python
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The Company
What We Do
Figure is an AI Robotics company building the world's first commercially viable autonomous humanoid robot. We are based in Sunnyvale, CA.
