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Senior Software Engineer - Omniverse Development - CDH - Remote

Mayo Clinic
United StatesRemotefull_timeVerifiedPosted 11 May 2026
💰 $2,147,483,647/yr

About the role

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 — Mayo Clinic's most expansive infrastructure transformation in a century. This $5 billion, multiyear program is reimagining the downtown Rochester campus with five new buildings spanning 2.4 million square feet, deeply integrated with AI, robotics, and digital technologies designed to transform how care is delivered to patients everywhere.
In this role, you will architect and develop simulation environments and digital twin systems built on NVIDIA Omniverse, enabling Mayo Clinic to virtually model, test, and optimize clinical workflows, facility operations, medical robotics, and patient experiences before and after physical construction. Your work will directly support the initiative's vision of seamlessly integrating physical spaces and digital capabilities to advance cures and improve patient outcomes.

Key Responsibilities:

3D Asset Creation & Environment Design
•    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.


Digital Twin Development and Integration
•    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.


Simulation Engineering
•    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.


Platform Engineering & Integration
•    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 
AI & Visualization
•    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


Collaboration & Delivery
•    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 inn

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Company

Mayo Clinic

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