Senior Robotics Simulation Engineer

About Grafton Sciences

We’re building AI systems with general physical ability — the capacity to experiment, engineer, or manufacture anything. We believe achieving this is a key step towards building superintelligence. With deep technical roots and real-world progress at scale (e.g., a $42M NIH project), we’re pushing the frontier of physical AI. Joining us means inventing from first principles, owning real systems end-to-end, and helping build a capability the world has never had before.

About The Role

We’re seeking a Senior Robotics Simulation Engineer to build high-fidelity simulation environments that power robotic policy training, safety validation, digital twins, and long-horizon planning. You’ll develop and calibrate simulation frameworks using MuJoCo, Isaac Gym, Drake, or similar platforms; implement domain randomization strategies; integrate real system data; and ensure accurate sim-to-real transfer for complex manipulation and automation tasks. This role blends physics simulation, robotics engineering, and ML-driven evaluation.

Responsibilities

• Build and maintain high-fidelity robotic simulation environments using MuJoCo, Isaac Gym, Drake, or equivalent frameworks.
• Develop domain randomization, parameter perturbation, and sensor/actuator modeling strategies to improve sim-to-real transfer.
• Integrate simulation with digital twins, RL environments, and evaluation pipelines for policy development and safety testing.
• Collaborate closely with robotics, controls, RL, and digital twin teams to align simulation fidelity with real-world system behavior.
  
  

Qualifications

• Strong experience building robotic simulation environments, including physics modeling, contact dynamics, or manipulation simulation.
• Familiarity with domain randomization, calibration techniques, and methods for improving sim-to-real alignment.
• Ability to integrate simulation with ML pipelines, RL environments, and real hardware telemetry.
• Comfortable working across simulation tools, robotics engineering, and ML systems in fast-moving, interdisciplinary settings.
  
  

Above all, we look for candidates who can demonstrate world-class excellence.

Compensation

We offer competitive salary, meaningful equity, and benefits.