Member of Technical Staff – Simulation

General Intuition & Medal•New York, NY
•$350,000 - $500,000•Onsite

About The Position

General Intuition is hiring a Member of Technical Staff – Simulation to develop simulation capabilities for models that act across virtual and physical environments. The role combines training low-level robot controllers with reinforcement learning in simulation and building realistic environments suitable for training, not just evaluation. The position owns work from simulation physics through integration of controllers with the company’s models. The role requires deep, production-level simulation experience, including ownership of environments, assets, domain randomization, and physics fidelity. The team uses Isaac Sim and MuJoCo. The successful candidate will bridge simulation and real-world robotic systems by deploying simulation-trained policies across multiple robot embodiments. They will set technical direction and raise engineering standards while remaining hands-on and writing code. This is an in-person role based in the New York, Geneva, or Zurich office.

Requirements

  • At least 6 years of hands-on exposure to robot learning in simulation.
  • Deep, hands-on simulation experience in production, including ownership of environments, assets, and domain randomization in a major simulator.
  • Experience with physics at a fidelity where contact models, actuator dynamics, and solver settings were the candidate’s decisions.
  • Strong fundamentals in reinforcement learning and sim-to-real transfer.
  • Proven ability to deploy simulation-trained policies on real robots across more than one embodiment.
  • Experience building simulation from scratch, rather than only training in environments designed by others.
  • Experience leading simulation while remaining hands-on and writing code.
  • Range across the simulation stack, from the solver and low-level controller through high-level policies.

Nice To Haves

  • Experience as the first simulation engineer on a team.
  • Evidence that other people came to depend on simulation systems the candidate built.
  • Experience hiring engineers.

Responsibilities

  • Train low-level controllers for robots using reinforcement learning in simulation.
  • Build realistic simulation environments suitable for training, not only evaluation.
  • Own simulation work spanning physics, environments, assets, and domain randomization through integration of controllers with models.
  • Make decisions about contact models, actuator dynamics, and solver settings to achieve suitable physics fidelity.
  • Bridge simulation and real-world robotic systems by deploying simulation-trained policies on real robots across more than one embodiment.
  • Set technical direction for simulation and raise the technical bar of engineers while continuing to write code.
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