Software Engineer - Omniverse Development - CDH - Remote

Mayo Clinic
Rochester, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Rochester, United States of America

Tech stack

C
Java
3d Models
Autodesk 3DS Max (3D Graphics Software)
3D Computer Graphics Software
Adobe Photoshop
Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Architectural Patterns
Computer Vision
Autodesk Revit
Azure
Big Data
Health Informatics
C Sharp (Programming Language)
C++
Cloud Computing
Code Review
Databases
Decision Support Systems
Distributed Systems
Python
Machine Learning
Open Source Technology
Cloud Services
Software Engineering
Management of Software Versions
ZBrush
Reinforcement Learning
Digital Twin
Google Cloud Platform
Autodesk Maya
Kubernetes
Information Technology
Bacnet
Integration Frameworks
Build Process
Hardware Infrastructure
Unreal Engine
Physical Design
Software Coding
Software Version Control
Data Pipelines
Docker
Go
Microservices
Data Generation

Job description

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., 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 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.

This vacancy is not eligible for sponsorship/ we will not sponsor or transfer visas for this position. Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.

Requirements

Required qualifications for this position include: 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.

Have 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. Preferred qualifications for this position include: 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 (Google Cloud Platform, 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.

The preferred candidate will possess:

  • 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 Google Cloud Platform 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.

Benefits & conditions

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Benefits Highlights

  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.

About the company

Why Mayo Clinic

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