Senior Software Engineer - Omniverse Development - CDH - Remote

Mayo Clinic is seeking a mid- to senior-level Software Engineer to join the Omniverse & Digital Twin Platform team, a pioneering group embedded within the Bold. Forward. Unbound. initiative. In this role, you will architect and develop simulation environments and digital twin systems built on NVIDIA Omniverse to optimize clinical workflows and enhance patient experiences.

Responsibilities:

• Model, texture, and light high-fidelity 3D environment based on real physical spaces for workflow, robotics simulation, and training
• Create detailed assets components, work cells, props, and clinical environments optimized for real-time rendering
• Apply strong artistic fundamentals – form, color, proportion, and composition – to produce visually coherent scenes
• Design and build high-fidelity digital twins of clinical facilities, care neighborhoods, operating rooms, robotics systems, and logistics centers using NVIDIA Omniverse and OpenUSD
• Integrate real-time sensor data, BIM/CAD models (Revit), and IoT streams to keep digital twin state synchronized with physical campus conditions
• Develop simulation environments for workflow modeling — patient flow, staff routing, equipment utilization, and supply chain logistics — to inform facility design and operations
• Iterate on assets based on performance needs, simulation accuracy, and multi-disciplinary team feedback
• Utilize industry standard tools such as Autodesk Maya, Blender, 3ds Max, ZBrush, Substance Painter/Designer, and Photoshop
• Maintain clean, efficient asset pipelines and documentation for repeatable simulation workflows
• Build physics-based simulation scenarios using NVIDIA Isaac Sim and Isaac Lab to test autonomous systems, AMRs, and robotic assistants planned for the new facilities
• Create synthetic data pipelines using Omniverse for training AI/ML models in clinical and operational contexts, supporting computer vision, detection, and safety systems
• Implement real-time physics simulation for validation of clinical workflows, equipment placement, and safety egress scenarios prior to construction milestones
• Validate visual and physical accuracy of simulation outputs to ensure alignment with real-world behavior
• Collaborate with AI Engineering, Development, and Simulation teams to refine assets and workflows
• Develop Omniverse extensions, connectors, and microservices using Python and C++ to integrate clinical applications, Epic EHR systems, RTLS platforms, and BAS/BMS infrastructure
• Build and maintain USD-based pipelines for ingesting, transforming, and versioning 3D assets including architectural models, medical equipment, and anatomy datasets
• Collaborate with infrastructure teams to deploy and scale Omniverse environments on NVIDIA-accelerated cloud and on-premises GPU infrastructure
• Partner with clinical informatics and AI teams to integrate predictive models and AI agents into simulation environments for decision support and operational optimization
• Develop immersive visualization interfaces (AR/VR, spatial computing) for surgical planning, staff training, and clinical design reviews
• Leverage NVIDIA Cosmos foundation models and synthetic data generation capabilities for AI model training in medical and operational domains
• Support demos/pilots, training content, and visual storytelling for leadership and stakeholders
• Work closely with architects, construction teams, clinical staff, and operations leaders to translate physical design intent into digital simulation
• Participate in agile sprint cycles, contributing to architecture reviews, design documentation, and cross-functional planning for the Bold. Forward. Unbound. program
• Mentor junior developers and contribute to a culture of innovation, knowledge-sharing, and technical excellence within the Omniverse team
• Operate autonomously in a fast-moving, unstructured environment while managing shifting priorities and aggressive timelines

Requirements:

• Bachelor's Degree in Computer Science/Engineering or related field with 5 years of experience as noted below; OR an Associate's degree in Computer/Science/Engineering or related field with 7 years of experience
• In-depth knowledge of software engineering with experience coding applications or services in a high-level language (C, C++, Golang, Java, C# etc.) and a basic knowledge of related fields
• Demonstrated problem solving and time management skills
• Possesses strong technical aptitude for designing and implementing software solutions
• Experience with modern application development frameworks
• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Deep hands-on technical expertise, excellent verbal and written communication skills
• Experience with Agile software development techniques
• Master's degree in Computer Science/Engineering or related field
• Ability to use a wide variety of open-source technologies and cloud-based services
• Experience writing software for the cloud (GCP, AWS, Azure)
• Experience in databases, analytics, big data systems or business intelligence products
• Experience building high-performance, highly available and scalable distributed systems
• Experience developing software for healthcare related industries
• Graduate degree (MS or PhD) in Computer Science, Robotics, Biomedical Engineering, or a related field
• Experience with BIM platforms (Autodesk Revit) and connector development for Omniverse
• Experience with NVIDIA Omniverse, Issac Sim, Cosmos, or RTX accelerated rendering
• Familiarity with NVIDIA Isaac for Healthcare, MONAI, or medical imaging AI frameworks
• Experience developing AR/VR applications using Unreal Engine, Unity, or Apple Vision Pro spatial computing frameworks
• Background in reinforcement learning, imitation learning, or synthetic data generation for AI model training
• Knowledge of hospital operations, clinical workflow design, or healthcare facility management systems
• Exposure to robotics simulation, ROS/ROS2, sensor modeling, or industrial automation
• Experience with cloud-based GPU compute (Azure NC/ND series, AWS or GCP instances) and containerized simulation workloads (Docker, Kubernetes)
• Familiarity with RTLS (Real-Time Location Systems), BACnet/BMS integration, or smart building technologies
• Contributions to open-source projects related to simulation, 3D graphics, or physical AI
• Experience contributing to synthetic data generation or AI/ML training pipelines
• Passion for robotics, simulation, or Physical AI, with the ability to apply skills from adjacent industries