Robotics Engineer - Teleoperation focus

The role

You will create a Data-Collection Engine to power model training and deployment. You will own the software and hardware of a teleoperation pipeline to create high-quality data across robot modalities.

What you will do

• Design and fabricate electromechanical teleoperation devices.
• Design software tooling for VLA training data collection.
• Define and implement automated pipelines for data quality.
• Build data-augmentation and data adaptation pipelines.
• Contribute to publications and open-source releases.
• Partner with customers to move manipulation capabilities from prototype to deployed product.

Required qualifications

• Bachelor's degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Job or Research experience in machine learning, robotics, and computer vision.
• Hands-on experience with mechanical design, CAD, design for manufacturing, 3D printing, and embedded systems (microcontrollers and firmware).
• Hands-on experience with industrial robot arms or cobots.
• Production-ready Python.
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Nice to have

• MS or PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, Computer Engineering, or a related technical field.
• Strong fundamentals in rigid body kinematics, coordinate frame transforms, camera calibration, and robotic controls
• Experience with PCB design and electronics assembly
• Demonstrated projects using robotic middleware platforms such as ROS2 or Zenoh, and comfort writing multithreaded, asynchronous code
• Hands-on experience with modern teleoperation methods for robot arms and mobile manipulators (including leader/follower setups, UMI, VR/AR, etc)
• Hands-on experience with modern manipulation policies — VLAs, world action models, reinforcement learning, imitation learning, diffusion or flow-matching policies, or agentic robot policies.
• Broad experience with many different industrial robots, and deep knowledge of modern sensing hardware: RGB and RGB-D cameras, LiDAR, force and tactile sensing.
• Judgment about systems constraints — latency, throughput, compute budget, memory — and the ability to factor them into model and architecture choices.
• C++ and Rust are also a plus!

About the company

General Robotics is building the intelligence grid for physical AI. Headquartered in Redmond, Washington, the company is venture backed and part of Microsoft's Startups Pegasus Program.