Staff Data Scientist – Simulation Motion AI

Intuitive is a global leader in robotic-assisted surgery and minimally invasive care, developing technologies that improve surgical precision, safety, and patient recovery. The Staff Data Scientist will lead scalable simulation-data systems for training, evaluating, and improving robotic policies for safety-critical motion AI products, collaborating with model, testing, regulatory, product, and clinical teams.

Responsibilities:

• Architect scalable pipelines for generating synthetic and procedurally varied robotic interaction data using Isaac Sim, Isaac Lab, MuJoCo, or similar simulators
• Build SOTA, scalable simulation environments developing task data generation, ML, and scene domain randomization strategies covering:

• Robot initial conditions and calibration errors
• Camera poses, optics, lighting, and occlusions
• Object geometry, appearance, pose, and material properties
• Contact, friction, compliance, deformation, and force variation
• Tool wear, latency, noise, and actuator uncertainty
• Nominal, edge-case, failure, and recovery conditions

• Define data-generation curricula that progress from constrained primitive actions to long-horizon, multi-stage robotic tasks
• Generate targeted recovery data for rare but safety-relevant conditions, including failed grasps, object displacement, camera obstruction, tracking loss, unexpected contact, and partial task completion
• Design systems for efficiently replaying, perturbing, relabeling, and extending real-world robot trajectories in simulation
• Establish provenance, metadata, versioning, and reproducibility standards for simulated datasets