Hiring: Staff Data Scientist – Simulation Motion AI Company: SLAS (Society for Laboratory Automation and Screening) Location: Peachtree Corners, GA Job Posted Time: 2026-09-17 00:23:57 Target Skills & Keywords : Computer Vision, Design System, Docker, Kubernetes, Machine Learning, PyTorch, Python About the job Experience: •30 years later, that question still fuels everything we do at Intuitive Required Skills: •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 •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. 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 •Demonstrated ability to diagnose model failures using quantitative analysis rather than relying solely on aggregate success metrics. •Operational familiarity with containerized and distributed computing technologies such as Docker, Kubernetes, Slurm, Ray, or cloud GPU platforms. •Proficiency in GPU optimization for either inference or rendering Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!