Nvidia

Job Description NVIDIA Digital Twin & Omniverse Engineer

Experience: 1 to 15 Years

Role Overview

We are seeking talented NVIDIA Digital Twin & Omniverse Engineers with expertise in NVIDIA Omniverse, Digital Twin technologies, AI/ML, Python, Robotics, Simulation, and Autonomous Systems. The ideal candidate will develop high-fidelity digital twins, simulation environments, and AI-powered virtual replicas for manufacturing, smart factories, logistics, robotics, and autonomous systems.

Key Responsibilities

• Design, develop, and maintain Digital Twin solutions using NVIDIA Omniverse.
• Build virtual replicas of industrial facilities, warehouses, factories, and robotic environments.
• Develop simulation environments for robotics, AMR, AGV, and autonomous systems.
• Integrate real-world sensor data with Digital Twin platforms.
• Work with USD (Universal Scene Description) and Omniverse extensions.
• Develop AI/ML models for predictive analytics, optimization, and autonomous decision-making.
• Create visualization, monitoring, and simulation dashboards.
• Integrate Digital Twins with IoT devices, cloud platforms, and enterprise systems.
• Perform simulation validation, performance tuning, and testing.
• Collaborate with robotics, AI, cloud, and engineering teams to deploy scalable solutions.

Required Skills

• Strong programming experience in Python.
• Hands-on experience with NVIDIA Omniverse Platform.
• Knowledge of Digital Twin Architecture and Implementation.
• Experience with Robotics, AMR, AGV, or Autonomous Systems.
• Understanding of 3D simulation, visualization, and real-time rendering.
• Experience with AI/ML and Deep Learning concepts.
• Knowledge of NVIDIA Isaac Sim, Isaac SDK, or Robotics Simulation.
• Experience working with Linux environments.
• Familiarity with USD (Universal Scene Description).

Preferred Skills

• NVIDIA Omniverse Kit Development.
• NVIDIA Isaac Sim & Isaac ROS.
• Computer Vision and Deep Learning.
• PyTorch, TensorFlow, CUDA, RAPIDS.
• Industrial IoT and Smart Manufacturing.
• Cloud platforms such as Azure, AWS, or GCP.
• Digital Factory, Smart Warehouse, or Industry 4.0 implementations.
• AR/VR and Extended Reality (XR) technologies.

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Robotics, Mechanical Engineering, Electronics, or related field.
• 1 to 15 years of experience in Digital Twin, Omniverse, Robotics, AI/ML, Simulation, or Autonomous Systems.