Livio Building Systems Private Limited is Hiring: Senior NVIDIA Omniverse Digital Twin Developer (Freelance / Contract)
About Us
We are a vertically integrated Engineering Design and Manufacturing company specializing in engineered building systems for the North American construction market. Our teams in India deliver engineering, BIM, detailing, automation, and digital solutions that directly drive controlled factory manufacturing and field installation across the United States. We are actively investing in AI, Digital Twin, BIM, and automation technologies to transform how complex engineered products are designed, manufactured, and delivered. Our vision is to build intelligent, data-driven platforms that connect engineering, manufacturing, and operations into a seamless digital ecosystem.
About the Project
We are building an advanced AI-powered Digital Twin platform that transforms customer-specific data center requirements into interactive, real-time 3D environments. The platform leverages NVIDIA Omniverse, OpenUSD, cloud GPU infrastructure, and real-time streaming technologies to generate project-specific digital twins using production-grade assets and engineering workflows.
We are seeking an experienced NVIDIA Omniverse Digital Twin Developer to lead the development, integration, optimization, and stabilization of this platform.
Role Overview
The selected freelancer will be responsible for developing and deploying a scalable Digital Twin ecosystem capable of converting user-defined data center configurations into live 3D environments. The solution must support dynamic asset generation, real-time visualization, cloud deployment, and web-based streaming.
This is a hands-on technical role requiring expertise across Omniverse development, OpenUSD architecture, cloud GPU infrastructure, real-time streaming, and modern web integration.
Key Responsibilities: Digital Twin Development
- Design and develop Digital Twin workflows using NVIDIA Omniverse.
- Build and maintain Omniverse Kit extensions and custom tools.
- Implement dynamic scene generation based on user inputs such as:
- Data center racks
- Server clusters
- Cooling systems
- Electrical and power distribution equipment
- Room layouts and infrastructure configurations
- Develop scalable scene composition strategies using OpenUSD.
OpenUSD Architecture
- Create and manage complex USD scene structures.
- Implement:
- References
- Payloads
- Variants
- Prim path management
- Visibility control
- Asset instancing
- Optimize large-scale scene performance and asset loading.
Real-Time Visualization & Streaming
- Configure and troubleshoot NVIDIA Omniverse WebRTC streaming.
- Optimize user experience for remote real-time interaction.
- Resolve latency, streaming, rendering, and session management issues.
Cloud Infrastructure & Deployment
- Deploy and manage Omniverse workloads on GPU-enabled Kubernetes environments.
- Configure:
- Docker containers
- Persistent storage volumes
- Init containers
- Asset pipelines
- GPU resource allocation
- Support production-grade deployments on cloud platforms such as Civo, AWS, Azure, GCP, or equivalent.
Front-End Integration
- Integrate Omniverse streaming and APIs with web applications.
- Collaborate on React, Next.js, and TypeScript-based user interfaces.
- Enable seamless interaction between frontend workflows and Digital Twin generation engines.
Platform Stabilization & Optimization
- Diagnose and resolve:
- Asset loading failures
- USD composition issues
- GPU deployment challenges
- Kubernetes lifecycle problems
- Streaming reliability issues
- Improve scalability, maintainability, and production readiness.
Required Skills & Experience: Core Technologies
- NVIDIA Omniverse Kit
- Omniverse Extension Development
- OpenUSD / Universal Scene Description (USD)
- Python Development
Real-Time 3D & Streaming
- NVIDIA Omniverse Streaming
- WebRTC
- Real-Time 3D Visualization
Cloud & Infrastructure
- Kubernetes
- Docker
- GPU-based Cloud Infrastructure
- Persistent Volumes & Container Orchestration
Web Development
- React
- Next.js
- TypeScript
- REST APIs / WebSocket Integration
Asset & Scene Management
- Large-scale 3D Asset Pipelines
- Scene Optimization
- Dynamic Asset Loading
- Industrial Digital Twin Architectures
Preferred Qualifications
- Prior experience with NVIDIA Digital Twin Blueprints (DSX) or similar Digital Twin frameworks.
- Experience building Digital Twins for:
- Data Centers
- Manufacturing Facilities
- Industrial Plants
- Smart Infrastructure
- Familiarity with AI-assisted engineering workflows.
- Experience deploying production Omniverse environments at scale.
- Understanding of BIM, CAD, and engineering data integration workflows.
Success Criteria
The successful candidate will help deliver a production-ready platform where customer requirements are automatically transformed into live, project-specific Digital Twins using real engineering assets and scalable cloud infrastructure.
The final solution should be reliable, performant, maintainable, and capable of supporting commercial deployment.
Engagement Type
- Freelance / Contract
- Remote
- Flexible working hours
- Potential long-term engagement based on project success
To Apply: Send below details to [email protected] with Job Title
Please include:
- Relevant Omniverse project experience
- Portfolio or demo links
- GitHub profile (if available)
- Examples of Digital Twin, OpenUSD, or real-time 3D projects
- Brief description of your role in those projects
Pay: ₹50,000.00 - ₹100,000.00 per month
Benefits:
- Flexible schedule
- Work from home
Application Question(s):
- Have you built and deployed a production-grade NVIDIA Omniverse application or Digital Twin solution?
Yes – Led development and deployment
Yes – Contributed as part of a team
No
- Which of the following have you personally worked with in a production environment? (Select all that apply)
☐ NVIDIA Omniverse Kit
☐ OpenUSD (References, Payloads, Variants)
☐ WebRTC Streaming
☐ Kubernetes GPU Deployments
☐ React / Next.js Integration
☐ Industrial or Data Center Digital Twins
- How soon you can start the work incase if you get appointed for this job?
(mention in days)
Work Location: Remote
