Member of Technical Staff – Simulation

General Intuition & Medal; New York (NY); Presencial; USD 160.000 - 240.000; Jornada completa

Descripción de la vacante

General Intuition is seeking a senior simulation engineer to develop low-level controllers for robots using reinforcement learning within high-fidelity simulation environments. You will own environments from physics to controller integration, and contribute hands-on coding while guiding teammates.

The role requires leadership experience and the ability to bridge simulation and real-world robotic systems, with ownership of simulation assets and a track record of delivering production-grade

Formación

• Hands-on simulation environments in production.
• Proven RL fundamentals and sim-to-real transfer experience.
• Experience building simulation from scratch and ownership of components.

Responsabilidades

• Develop low-level controllers for robots using RL in simulation.
• Build realistic training environments for model development and evaluation.
• Own physics fidelity and how controllers plug into models.
• Lead simulation efforts while mentoring teammates and contributing code.

Conocimientos

Simulation experience

Reinforcement learning

Sim-to-real transfer

Hands-on coding

Leadership

Descripción del empleo

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.