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About the Role
In this role, you'll push in two directions: going deeper into control, by training low-level controllers for our robots with RL in sim, and going wider, by building environments realistic enough to train in, not just to evaluate. You'll own both, from the physics up to how the controllers plug into our models.
Responsibilities
- Train low-level controllers for robots with RL in sim.
- Build realistic simulation environments for training.
- Own simulation environments from physics to controller integration.
- Deploy simulation-trained policies on real robots.
- Set technical direction for simulation efforts.
- Raise the bar for engineers working on simulation.
- Write code for simulation and control systems.
Requirements
- Deep, hands-on simulation experience run in production.
- Owned environments, assets, and domain randomization in a major simulator.
- Experience with physics at a fidelity where contact models, actuator dynamics, and solver settings were your decisions.
- 6+ years of hands-on exposure to robot learning in simulation (contact-rich manipulation, legged locomotion, whole-body control, or similar).
- Strong fundamentals in reinforcement learning and sim-to-real transfer.
- Proven ability to bridge simulation and real-world robotic systems.
- Deployed simulation-trained policies on real robots across more than one embodiment.
- Track record of building simulation from scratch.
- Experience as the first simulation engineer on a team.
- Evidence that other people depended on your built simulation.
- Experience leading simulation while staying hands-on.
- Experience hiring simulation engineers.
- Range across the whole stack, from the solver and low-level controller up through high-level policies.
Skills
- Simulation
- Control
- Reinforcement Learning (RL)
- Robotics
- Physics
- Sim-to-real transfer
- Robot learning
- Contact-rich manipulation
- Legged locomotion
- Whole-body control
- Isaac Sim
- MuJoCo
Location
- New York
- Geneva
- Zurich
Work Type
- In-person
Experience Level
- 6+ years
About the Company
- General Intuition is the frontier lab for acting in space and time.
- We build large action models and world models that can perceive, predict, and act across virtual and physical environments.
- General Intuition builds on the strength of Medal, the world's largest and fastest-growing platform for gaming clips.
- Raised over $650M from Khosla, GC, Valor, and Point72 since October 2025.
- Recently closed latest round at a $6.2B valuation.