Simulation & Robot Learning Engineer

Our client is building humanoid robots and learning systems for the physical world. Their focus is simple: make light work.They’re looking for someone who lives at the intersection of simulation and real robots — someone who can close the sim-to-real gap on contact-rich manipulation and help train policies that actually work on hardware.What you’ll doBuild high-quality simulated tasks, assets, and evaluation environmentsTrain and evaluate manipulation policiesDevelop robust methods for transferring learned behavior from sim to physical robotsCreate tools that accelerate data generation, training, and evaluationWhat they’re looking for4+ years in robot simulation or robot learningExperience deploying learned behaviors on real robotsStrong fundamentals in simulation, system identification, and sim-to-realProficiency in Python and a modern ML frameworkBonus points for experience with deformable manipulation, simulation infrastructure, or large-scale training systems.This is an early-stage team in New York City building the next generation of humanoid capability. If you want to ship systems that move from simulation into the real world, reach out.