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 settings.
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 (India)
🏢 Infosys
📍 India