Simulation & Robot Learning Engineer

Onyx Staffing; New York (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

Onyx Staffing is seeking talent to bridge sim-to-real gaps for humanoid robots in New York City. You will develop high-fidelity simulation tasks and evaluation environments, train manipulation policies, and push learned behaviors from simulation to hardware.

The role emphasizes strong fundamentals in simulation and ML, with a focus on practical deployment on real robots and scalable data generation workflows.

Qualifications

• 4+ years in robot simulation or robot learning.
• Experience deploying learned behaviors on real robots.
• Strong fundamentals in simulation, system identification, and sim-to-real.
• Proficiency in Python and a modern ML framework.

Responsibilities

• Build high-quality simulated tasks, assets, and evaluation environments.
• Train and evaluate manipulation policies.
• Develop robust methods for transferring learned behavior from sim to physical robots.
• Create tools that accelerate data generation, training, and evaluation.

Skills

Robot simulation

Robot learning

Python

ML frameworks

Job description

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 do

• Build high-quality simulated tasks, assets, and evaluation environments
• Train and evaluate manipulation policies
• Develop robust methods for transferring learned behavior from sim to physical robots
• Create tools that accelerate data generation, training, and evaluation

What they’re looking for

• 4+ years in robot simulation or robot learning
• Experience deploying learned behaviors on real robots
• Strong fundamentals in simulation, system identification, and sim-to-real
• Proficiency in Python and a modern ML framework

Bonus 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.