Nvidia

Infosys; Bengaluru, Mumbai; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

NVIDIA is seeking an experienced NVIDIA Digital Twin & Omniverse Engineer to design, develop, and deploy next‑gen digital twin solutions using the NVIDIA Omniverse platform. You will work on 3D visualization, industrial metaverse, robotics simulation, AI‑driven visualization, and real‑time collaboration for manufacturing and logistics domains.

The candidate will have hands‑on Python development, USD knowledge, and the ability to integrate CAD/PLM/IoT/MES with Omniverse.

Qualifications

• Experience with NVIDIA Omniverse Platform and digital twin tech.
• Hands-on Python development and USD familiarity.
• Ability to integrate CAD/PLM/IoT/MES with Omniverse.

Responsibilities

• Develop and deploy Digital Twin solutions using NVIDIA Omniverse.
• Build 3D visualization, simulation, and virtual factory environments.
• Create and manage USD-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.

Skills

NVIDIA Omniverse Platform

Digital Twin Technologies

Python Development

USD (Universal Scene Description)

3D graphics visualization

Computer Vision/AI/Robotics concepts

Cloud/edge computing

APIs & integrations

Omniverse Kit Development

NVIDIA Isaac Sim

Education

BE/BTech/ME/MTech in Computer Science, IT, Robotics, Mechanical, Electronics, AI, or related

Tools

NVIDIA Omniverse Platform

USD (Universal Scene Description)

Python

ROS/ROS2

Unreal Engine

Unity

NVIDIA Isaac Sim

OpenUSD

Docker

Kubernetes

Job description

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.