Member of Technical Staff – Simulation

General Intuition; New York (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

General Intuition in New York, NY is seeking a hands-on senior simulation engineer to push the envelope in robotic control and environment realism. You will own both low-level controller development and high-level policy integration, bridging simulation and real-world robotics across multiple embodiments.

The role emphasizes building end-to-end simulation environments, solver configurations, and domain randomization to support RL and real-world deployment, with onsite collaboration in NY,

Qualifications

• Deep, hands-on simulation experience in production environments.
• 6+ years of hands-on exposure to robot learning in simulation (contact-rich manipulation, legged locomotion, whole-body control, or similar).
• Proven ability to bridge simulation and real-world robotic systems with deployments on real robots.
• Track record of building simulation from scratch and making it a reliability anchor for others.
• Experience leading simulation while staying hands-on, setting technical direction and possibly hiring.
• Knowledge across the stack from solver and low-level controllers to high-level policies.

Skills

Simulation experience

Reinforcement learning

Sim-to-real transfer

Tools

Isaac Gym/Isaac Sim

MuJoCo

Job description

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.