Job Description


Key Responsibilities:
  • Develop and deploy digital twins of manufacturing systems using NVIDIA Omniverse and USD (Universal Scene Description).
  • Integrate real-time data from IoT sensors, PLCs, MES, and SCADA systems into Omniverse-based environments.
  • Build custom Omniverse extensions and tools using Python to support manufacturing-specific use cases.
  • Collaborate with process engineers, automation teams, and data scientists to ensure accurate modeling of physical systems.
  • Integrate, Optimize performance and scale simulations for enterprise deployment across multiple sites.
  • Stay current with advancements in Omniverse, digital twin technologies, and Industry standards.

  • Required Qualifications:
  • Bachelor’s or Master’s degree in Computer Science, Mechanical/Electrical Engineering, or related field.
  • + years of experience in D simulation, real-time graphics, or industrial automation.
  • Hands-on experience with NVIDIA Omniverse, USD, and RTX rendering.
  • Strong programming skills in Python.
  • Familiarity with manufacturing systems, including production lines, robotics, and industrial control systems.
  • Experience with D modeling tools (, Unity, Blender, Maya) and CAD integration.
  • Understanding of digital twin concepts and their application in manufacturing.

  • Preferred Qualifications:
  • Experience with NVIDIA Isaac Sim for robotics simulation.
  • Knowledge of OPC UA, MQTT, or other industrial communication protocols.
  • Familiarity with MES, SCADA, or ERP systems.
  • Exposure to AI/ML for predictive maintenance or process optimization.
  • Experience with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes).

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