Senior Robotics Simulation Engineer
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Summary
San Francisco, United States
Full-time
Senior
About this Job
About Grafton Sciences
We’re building physical general intelligence — autonomous systems that can experiment, reason, and discover in the physical world. 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.
About the Company
