Research Engineer, Robotics - Roboticist

Required

• Master’s with 3+ years of experience, or PhD, in robotics, control or a related field. Strong candidates with a bachelor’s and 3+ years of industry experience are also considered.
• Controls: you have implemented and tuned real-time controllers (joint, impedance, operational-space or torque control) on physical robots, with a solid grounding in rigid-body dynamics, control theory, stability analysis and system identification. You can explain why a controller went unstable and fix it.
• Whole-body and floating-base control: you understand floating-base dynamics, contact constraints and inverse dynamics, and have worked with at least one of QP-based whole-body control, operational-space control or MPC, on hardware or in a high-fidelity simulator.
• Manipulation: substantial hands-on experience with real-robot manipulation, including bring-up, calibration and control of arms with grippers or hands.
• System design: you have designed robot software systems end to end (control loops at 500 Hz to 1 kHz, state estimation, data flow, and the interfaces between planning, perception and learning) and can reason about latency, reliability and failure modes. Strong Python; solid real-time C++.
• Mechanical design: you have designed and built hardware that was used on a real robot, such as end-effectors, mounts, fixtures or rigs. CAD required (SolidWorks, Fusion 360, Onshape or similar), with design-for-manufacturing experience for 3D printing or machining.
• Robot learning: you have trained or deployed learned policies (imitation learning, RL or VLA) on real robots, and are comfortable with PyTorch and at least one simulation ecosystem (Isaac Lab, MuJoCo or similar).
• Debugging across the full stack, from perception through control to hardware, and clear communication with a structured, systems-oriented approach.