Robot Learning Engineer: Simulation-to-Real Robotic Systems

Maxwell Bond; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Maxwell Bond is seeking a Member of Technical Staff (Simulation & Robot Learning Engineer) to build high-fidelity simulation environments and develop scalable data-generation pipelines for robot learning.

You will train policies using reinforcement learning, imitation and diffusion methods, and work on sim-to-real transfer to real humanoid robots. This hands-on role covers simulation, ML, robotics and hardware on challenging manipulation tasks.

Qualifications

• 4+ years building simulation environments and training robot-learning policies.
• Experience transferring policies from simulation to real hardware.
• Strong Python and C++ programming skills.
• Familiarity with RL, imitation and diffusion-based methods.

Responsibilities

• Build high-fidelity simulation environments.
• Create scenes, assets, and physics configurations.
• Train deployable robot policies.
• Transfer policies to physical robots.
• Close sim-to-real gap via domain randomization and calibration.
• Build scalable data pipelines for synthetic data and demonstrations.
• Develop evaluation and benchmarking infrastructure.
• Apply agentic AI and LLM-based tooling to automate workflows.
• Collaborate with controls, perception, mechanical and learning engineers.

Skills

Robot learning

Python

C++

PyTorch

JAX

Reinforcement learning

Imitation learning

Diffusion policies

Vision-Language-Action

World models

Education

BS/MS/PhD in Robotics, CS, ML, EE/Mech Eng

Tools

Isaac Sim/Lab

MuJoCo

Drake

Gazebo

SAPIEN

Genesis

Job description

Maxwell Bond is seeking a Member of Technical Staff (Simulation & Robot Learning Engineer) to build high-fidelity simulation environments and develop scalable data-generation pipelines for robot learning.

You will train policies using reinforcement learning, imitation and diffusion methods, and work on sim-to-real transfer to real humanoid robots. This hands-on role covers simulation, ML, robotics and hardware on challenging manipulation tasks.