Senior Robotics Control Engineer — Real-Time Torque & Planning

Foundry Robotics

San Francisco (CA)

On-site

USD 150,000 - 250,000

Full time

14 days+

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Job summary

Foundry Robotics is seeking a Senior Robotics Control Engineer to design and develop real-time control systems for advanced robotic manipulators, focusing on torque control, motion planning, and state estimation.

You will implement optimization-based controllers, fuse sensor data from encoders, torque sensors, and IMUs, and work with Autonomy, Hardware, and Testing teams from simulation through hardware validation. San Francisco-based, full-time.

Qualifications

  • 5+ years of experience implementing optimization-based multi-DOF control on real robotic systems.
  • Experience with state estimation methods (EKFs, Particle Filters, Factor Graphs).
  • Experience with sensors and sensor fusion (encoders, torque sensors, IMUs).
  • Strong knowledge of spatial kinematics and dynamics.
  • Proficient in C++ and Python.

Responsibilities

  • Design and develop real-time C++ control for robotic arms focusing on torque control and low impedance.
  • Build model-based planning components: trajectory optimization and inverse dynamics.
  • Develop real-time state estimation by fusing sensor data.
  • Own controller performance from simulation to hardware bring-up and testing.
  • Integrate controllers with Autonomy, Hardware, and Testing teams at Foundry.

Skills

Optimization-based multi-DOF control
State estimation for real-time robots
Sensor fusion
C++ proficiency
Python proficiency

Tools

Pinocchio
Drake
MuJoCo
ROS 2
Real-time Linux

Job description

Foundry Robotics is seeking a Senior Robotics Control Engineer to design and develop real-time control systems for advanced robotic manipulators, focusing on torque control, motion planning, and state estimation.

You will implement optimization-based controllers, fuse sensor data from encoders, torque sensors, and IMUs, and work with Autonomy, Hardware, and Testing teams from simulation through hardware validation. San Francisco-based, full-time.

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