Building dexterous robots that learn from human biomechanics. Backed by Y Combinator.
About the role
You will build the software systems that enable robots to learn dexterous manipulation skills from human data. You will work with dexterous hands and grippers across control, perception, teleoperation, simulation, and learned policy deployment, turning research ideas into working systems on physical robots. We are looking for robotics software engineers who like working on real hardware and want to apply learning-based approaches to it. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Strong software engineering skills in Python and/or C++
- Experience developing software for physical robots, simulation, or closely related systems
- Solid understanding of robotics fundamentals such as kinematics, dynamics, motion planning, control, or state estimation
- Ability to independently debug complex systems spanning hardware and software
- Experience with dexterous hands, contact-rich manipulation, or force and impedance control is a plus
- Experience with computer vision, 3D perception, camera calibration, or pose estimation is a plus
More about this role
You will build the software systems that enable robots to learn dexterous manipulation skills from human data. You will work with dexterous hands and grippers across control, perception, teleoperation, simulation, and learned policy deployment, turning research ideas into working systems on physical robots. We are looking for robotics software engineers who like working on real hardware and want to apply learning-based approaches to it. You don't need prior experience with robot foundation models, but you should be excited about applying modern machine learning to robotics.
- Develop and maintain software for robot arms, dexterous hands, and grippers, including control, sensor integration, and real-time execution.
- Build teleoperation, motion-retargeting, and data-collection systems that map human hand motion, force, and muscle-activity data onto dexterous hands and grippers with different kinematics.
- Build perception for our robots and capture setups, including multi-camera calibration and synchronization, hand and object tracking, and 3D state estimation for teleoperation and policy deployment.
- Integrate cameras, tactile sensors, force/torque sensors, and other sensing...
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