Staff Data Scientist – Simulation Motion AI
It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies-like the da Vinci surgical system and Ion -have transformed how care is delivered for millions of patients worldwide.
We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.
The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life.
If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare, you’ll find your purpose here.
Primary Function of Position
As a Staff Data Scientist - Simulation Motion AI, you will lead the design of scalable simulation-data systems used to train, evaluate, and improve robotic policies for complex, safety-critical motion AI products. You will work alongside foundation and policy model teams, test, regulatory, product and clinical teams to generate data, train and test algorithms in simulation at scale for motion AI products.
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.
Required Qualifications
PhD or Master’s degree in Computer Science, robotics, machine learning, data science, electrical engineering, mechanical engineering, applied mathematics, or a related technical field.
9+ years of industry experience, post training, developing simulation, machine learning, robotics, computer vision, simulation, or autonomous-systems software; or 4+ years of industry experience with a PhD
Proven hands-on experience with at least one major robotics simulation platform: NVIDIA Isaac Sim, NVIDIA Isaac Lab, MuJoCo or Equivalent physics-based robotics simulation environment
Expertise in creating custom simulation environments, robot assets, task definitions, sensors, reward functions, termination criteria, or procedural scene-generation systems.
Expertise with Python and modern machine-learning frameworks such as PyTorch
Experience working with robot kinematics, dynamics, coordinate frames, calibration, trajectory representations, and closed-loop control and designing datasets and experiments for multimodal or time-series machine learning.
Demonstrated ability to diagnose model failures using quantitative analysis rather than relying solely on aggregate success metrics.
Experience deploying, testing, or validating models on physical robotic systems.
Preferred Qualifications
Experience developing vision-based manipulation policies using RGB, stereo, depth, segmentation, optical flow, keypoints, or learned visual representations.
Experience with transformer, diffusion, or vision-language-action for robotics.
Experience with deformable-object simulation, articulated objects, fluids, cables, sutures, tissue, or other contact-rich environments.
Experience with experiment tracking, dataset versioning, distributed training, and large-scale simulation infrastructure.
Familiarity with containerized and distributed computing technologies such as Docker, Kubernetes, Slurm, Ray, or cloud GPU platforms.
Experience in a safety-critical field such as medical robotics, autonomous vehicles, aviation, industrial automation, or defense.
Proficiency in GPU optimization for either inference or rendering
Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.
Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.
U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status.
Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process).
For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes.
We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.
Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.
This position may be filled at a different job level than listed here depending on
business need and/or on the selected candidate’s experience, knowledge and skills.
Compensation will be based primarily on the job level at which the role is filled and the
candidate’s qualifications, consistent with applicable law.
We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.