Figure is an AI Robotics company developing the general purpose humanoid Figure and a teleoperation platform. We target use cases in the industry and home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build.
We are looking for a TeleOp Controls Intern. You will own the TeleOp control system, consisting of joint control, state estimation, and work on the way it interacts with the robot. You will work both in simulation and on hardware with the goal of providing real-time information for control of the robot and feedback to the user.
Responsibilities:
- Design and develop C++ code to support a force feedback mobile system.
- Estimate the pose and intention of the teleoperator, and communicate this to the robot.
- Provide force feedback to the teleoperator in a safe and intuitive manner.
- Design scalable solutions that integrate with Autonomy, Controls, and Testing systems at Figure.
Relevant Skills:
- Experience implementing optimization-based multi-DOF control algorithms (inverse dynamics, trajectory-optimization, whole-body control)
- Experience building state of the art state estimation solutions for real-time robotic systems such as (E)KFs, Particle Filters, Factor Graphs, Bayesian Estimation, etc.
- Experience working with various sensors, including encoders, torque sensors, IMUs, etc and sensor fusion.
- Understanding of spatial kinematics, dynamics and related mathematical concepts
- Experience iterating on complex multi-dof systems, with emphasis on torque control and low impedance.
- Fluency in modern C++ and Python
Bonus Qualifications:
- Prior experience working with haptics systems
- Experience with Machine Learning (ML) as it relates to state-estimation
- Working with visual odometry
The US based hourly range for this intern position is between $50-80.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.