Member of Technical Staff – Simulation

Roboticsconnected; New York (NY); In loco; USD 170.000 - 250.000; Tempo pieno

Descrizione del lavoro

General Intuition seeks a Senior Simulation Engineer to advance control and environments for robotics. You will train low-level controllers in simulation and build realistic environments for training reinforcement learning policies that transfer to real robots.

You will own both the physics and how controllers integrate with larger models, bridging simulation and real-world robotic systems. This role is in-person across our New York, Geneva, or Zurich offices.

Competenze

• 6+ years hands-on exposure to robot learning in simulation with RL.
• Strong fundamentals in reinforcement learning and sim-to-real transfer.
• Bridge between simulation and real-world robotic systems.
• Experience building simulation engines and environments from scratch.
• Ability to lead simulation teams while staying hands-on and writing code.
• Experience across solver, low-level controller, and high-level policies.

Mansioni

• Own physics up to how controllers plug into models.
• Train low-level controllers for robots in simulation with RL.
• Build realistic environments for training and evaluation.

Conoscenze

Simulation in production

Robot learning in simulation

Sim-to-real transfer

Environment building for RL

Technical leadership in simulation

Hands-on coding in robotics

Descrizione del lavoro

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, where millions of gamers capture, share, and discover new games every year. We've raised over $650M from Khosla, GC, Valor, and Point72 since October 2025, and recently closed our latest round at a $6.2B valuation.

THE ROLE

We train models on games that act across many embodiments, and simulation is a growing part of how we extend them. 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.

This is an in-person role based in one of our New York, Geneva, or Zurich offices.

WHAT WE'RE LOOKING FOR

• Deep, hands-on simulation experience, run in production. We run on Isaac Sim and MuJoCo; what matters is that you've owned environments, assets and domain randomization in a major simulator, and 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), with strong fundamentals in reinforcement learning, and sim-to-real transfer.
• Proven ability to bridge simulation and real-world robotic systems. You've deployed simulation-trained policies on real robots, across more than one embodiment.
• A track record of building simulation from scratch, not just training in what someone else designed, ideally as the first simulation engineer on a team, and evidence that other people came to depend on what you built.
• Experience leading simulation while staying hands-on: you've set technical direction and raised the bar of the engineers around you, ideally including hiring them, and you still write code today.
• Range across the whole stack, from the solver and the low-level controller up through high-level policies.