Nvidia

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.