Grafton Sciences
Senior Robotics Simulation Engineer
Grafton Sciences, Redwood City, California, United States, 94061
Senior Robotics Simulation Engineer
– Grafton Sciences – San Francisco, CA Join to apply for the
Senior Robotics Simulation Engineer
role at
Grafton Sciences . 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. Compensation
– We offer competitive salary, meaningful equity, and benefits. Above all, we look for candidates who can demonstrate world-class excellence.
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– Grafton Sciences – San Francisco, CA Join to apply for the
Senior Robotics Simulation Engineer
role at
Grafton Sciences . 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. Compensation
– We offer competitive salary, meaningful equity, and benefits. Above all, we look for candidates who can demonstrate world-class excellence.
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