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Simulation & Robot Learning Engineer
Onyx Staffing
New York City, USA
Full-time
Mid-Senior
Onsite
Discovered 1 months ago
Robot simulationRobot learningSimulation environmentsManipulation policiesSim-to-real transferSystem identification
Role Overview
The client is building humanoid robots and learning systems for the physical world.
The role focuses on closing the sim-to-real gap for contact-rich manipulation and training policies that work on hardware.
Key Skills for This Role
Robot simulationRobot learningSimulation environmentsManipulation policiesSim-to-real transferSystem identification
Full Job Posting
Role overview
The client is building humanoid robots and learning systems for the physical world.
The role focuses on closing the sim-to-real gap for contact-rich manipulation and training policies that work on hardware.
What you'll do
- Build high-quality simulated tasks, assets, and evaluation environments.
- Train and evaluate manipulation policies.
- Develop robust methods to transfer learned behavior from simulation to physical robots.
- Create tools that accelerate data generation, training, and evaluation.
What they're looking for
- 4+ years of experience in robot simulation or robot learning.
- Experience deploying learned behaviors on real robots.
- Strong fundamentals in simulation, system identification, and sim-to-real transfer.
- Proficiency in Python and a modern machine learning framework.
Bonus experience
- Experience with deformable manipulation, simulation infrastructure, or large-scale training systems.
Team location
- The team is based in New York City.
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