Member of Technical Staff Simulation
AI research lab building large action models and world models that perceive, predict, and act across virtual and physical environments.
Funding history
About General Intuition
General Intuition trains models on action-labeled gameplay data, building on Medal’s gaming-clip dataset. Its models are intended for games, simulation, robotics, and other physical-world applications; it has begun onboarding commercial API partners.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build and own realistic simulation environments, assets, and domain randomization for robot learning. You will train low-level robot controllers using reinforcement learning, develop simulation systems from physics through high-level policies, and deploy simulation-trained policies to real robots. You will set technical direction while remaining hands-on with code.
Requirements
- Deep hands-on production simulation experience
- Experience with Isaac Sim, MuJoCo, or another major simulator
- Experience owning simulation environments, assets, and domain randomization
- Experience with contact models, actuator dynamics, and solver settings
- 6+ years of hands-on robot learning experience in simulation
- Strong reinforcement learning and sim-to-real transfer fundamentals
- Experience deploying simulation-trained policies on real robots across multiple embodiments
- Experience building simulation systems from scratch
- Experience leading simulation while remaining hands-on
- Experience across solvers, low-level controllers, and high-level policies
Responsibilities
- Build and own simulation environments, assets, and domain randomization
- Train low-level robot controllers with reinforcement learning in simulation
- Develop realistic environments for training and evaluation
- Design physics fidelity, contact models, actuator dynamics, and solver settings
- Integrate low-level controllers with models
- Deploy simulation-trained policies on real robots
- Set technical direction and raise the engineering bar
- Write code across the simulation and control stack
Benefits
- Comprehensive medical coverage
- Dental coverage
- Vision coverage
- 401(k)
- Fertility benefits
- Parental benefits
- Generous PTO
- Daily meals
- Wellness benefits
- Commuter benefits at the NYC headquarters
- Learning and development stipend