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Senior / Staff Sim-to-Real Engineer (Tendon-based Robotic Hands)

Apptronik · Austin, TX · Posted 6 days ago

ic
5+ yrs expReinforcement LearningSim-to-Real TransferSystem IdentificationTendon-driven MechanismsQuasi-Direct Drive ActuatorsRoboticsControlsPhysical Simulation

Own the sim-to-real pipeline for tendon-driven robotic hands, defining the system identification roadmap and driving zero-shot policy transfer onto physical hardware.

We are looking for an experienced and autonomous Senior/Staff Sim-to-Real Engineer to bridge the gap between simulation and physical hardware for our advanced tendon-driven robotic hands.

Simulating tendon-driven mechanisms is notoriously difficult due to complex routing, friction, elasticity, and non-linear transmission dynamics. In this role, you will be responsible for creating elegant, highly accurate abstractions of these complex mechanisms for our simulators, and proving they work through rigorous empirical testing and system identification.

You will play a critical role in our control pipeline, ensuring that Reinforcement Learning (RL) policies trained in simulation successfully transfer to physical hardware. As a senior member of the team, you will have the autonomy to define our system identification roadmap, establish testing protocols, and drive the sim-to-real engineering culture.

  • Tendon Mechanism Abstraction: Develop and implement simple, computationally efficient, and highly accurate physical abstractions for complex tendon-driven mechanisms in simulation.
  • System Identification & Validation: Design and execute empirical testing protocols to identify system parameters and prove that your simulation abstractions accurately reflect physical reality.
  • Actuator Characterization: Perform rigorous system ID and control tuning on low friction robotic actuators to ensure high-fidelity torque and effort mapping.
  • Rigid Multi-Body Calibration: Drive the kinematic calibration, inertial parameter identification, and effort production verification across our multi-body hand systems.
  • Sim-to-Real Pipeline Ownership: Collaborate closely with the RL and Controls teams to ensure the dynamics engine and domain randomization strategies perfectly support zero-shot or few-shot transfer of control policies onto physical hardware.
  • Technical Leadership: Operate autonomously to identify bottlenecks in the sim-to-real pipeline, propose solutions, and lead the technical execution from concept to deployed hardware.

…

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This role centers on Reinforcement Learning, Sim-to-real Transfer, System Identification, and Quasi-direct Drive Actuators. There are 91 open roles at Apptronik right now.

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