Job Description : NVIDIA Digital Twin & Omniverse Engineer

Role: NVIDIA Digital Twin & Omniverse Engineer
Experience: 1 to 12 Years
Compensation: Best in Industry

Job Summary

We are seeking talented NVIDIA Digital Twin & Omniverse Engineers to design, develop, and deploy next-generation digital twin solutions using the NVIDIA Omniverse platform. The ideal candidate will work on 3D simulation, industrial metaverse, robotics simulation, AI-driven visualization, and real-time collaboration environments for manufacturing, smart factories, logistics, automotive, and engineering domains.

Key Responsibilities

- Develop and deploy Digital Twin solutions using NVIDIA Omniverse.
- Build 3D visualization, simulation, and virtual factory environments.
- Create and manage USD (Universal Scene Description) based applications.
- Integrate CAD, PLM, IoT, MES, and enterprise systems with Omniverse.
- Develop Omniverse extensions, connectors, and custom workflows.
- Collaborate with AI/ML, Robotics, and Simulation teams.
- Create real-time monitoring and visualization dashboards.
- Support industrial metaverse and smart manufacturing initiatives.
- Optimize rendering, simulation performance, and scalability.
- Participate in architecture design, development, testing,



and deployment activities.

Required Skills

- Experience with NVIDIA Omniverse Platform.
- Knowledge of Digital Twin Technologies.
- Hands-on experience with Python Development.
- Understanding of USD (Universal Scene Description).
- Experience with 3D graphics, visualization, and simulation.
- Knowledge of Computer Vision, AI, or Robotics concepts.
- Understanding of cloud and edge computing platforms.
- Experience with APIs, integrations, and automation.

Preferred Skills

- Omniverse Kit Development.
- NVIDIA Isaac Sim.
- OpenUSD.
- ROS/ROS2.
- Unreal Engine or Unity.
- CAD/PLM Integration.
- Industrial IoT Platforms.
- Generative AI and Agentic AI exposure.
- Docker, Kubernetes, and Cloud Platforms (Azure/AWS/GCP).

Domain Experience

Experience in any of the following domains will be preferred:

- Manufacturing
- Automotive
- Aerospace
- Industrial Automation
- Smart Factory
- Robotics & Autonomous Systems
- Logistics & Warehousing
- Process Industry

Educational Qualification

- BE/BTech/ME/MTech in Computer Science, Information Technology, Robotics, Mechanical, Electronics, Artificial Intelligence, or related disciplines.

📌 Nvidia (Bengaluru)
🏢 Infosys
📍 Bengaluru