RAI AI Engineer, Sim-to-Real

REVEL is an AI robotics company developing physical intelligence for general-purpose humanoid robots. We capture the force, dexterity and intent of human work with our Neural Gambit wearable, and use it to train RAI, the intelligence that powers our robots. REVEL is headquartered in Palo Alto, California, with R&D and engineering facilities in Prague and Hradec Králové, Czech Republic. This role is on-site with our engineering team in the Czech Republic.

Close the gap between NVIDIA Isaac Sim and the physical robot. Our RAI team builds the core intelligence that powers REVEL robots, learning from the force and intent Neural Gambit captures.

Responsibilities

• Worked directly with robotics physics simulators: Isaac Sim/IsaacLab, Newton, MuJoCo, or similar, at a level deep enough to reason about what the simulator is actually computing, not just how to call it

• Comfortable in Python, and genuinely fluent in the physics underneath: how rigid bodies interact, how contact gets modeled, how actuators behave — this isn't a black box to you

• Have calibrated a simulator against real hardware yourself, matched simulated behavior to measured behavior, not just eyeballed it

• Have helped or deployed policies from simulation onto real robots, using techniques like domain or dynamics randomization, and know the ways that transfer tends to break

Requirements

• Strong Python and PyTorch (or JAX)

• Solid deep-learning fundamentals and experimental rigour

• Good software engineering practices

• Bias to ship and iterate quickly

Bonus qualifications

• Have done Sim-to-Real work specifically humanoids

• Know your way around USD pipelines or automating CAD to Simulation workflows

• Familiar with modeling actuator constraints (motor operating regions or similar) directly in training

• Can write C++ for performance critical simulation code

• Publications at strong robotics/RL venues, or comparable open-source work