Responsibilities :
Digital Twin Architecture & Platform Deployment
Architect, deploy, and maintain NVIDIA Omniverse-based platforms for digital twin creation, simulation, and real time visualization.
Build interactive, physics-based digital twins of factories, machines, and industrial processes.
Optimize Omniverse environments for performance, scalability, and security. AI, Simulation & Generative Automation
Integrate AI/ML and Generative AI models to enable predictive analytics, workflow optimization, and intelligent automation.
Use Omniverse Blueprints to design and refine AI-driven factory and manufacturing workflows.
Develop AI-enabled space planning, layout optimization, and workflow automation tools using Omniverse extensions and AI-powered search. Robotics & Virtual Commissioning
Collaborate with robotics and automation teams to support virtual testing, path planning, and system validation.
Optimize robot trajectories and operations using AI enhanced simulations for improved efficiency and safety. Interoperability & System Integration
Ensure seamless data flow between CAD, PLM, ERP, and IoT systems using OpenUSD and Omniverse Connectors.
Aggregate 3D engineering models and IoT sensor streams into unified simulation environments.
Enable cross-platform data interoperability across enterprise and shop floor systems. Security, Compliance & DevOps
Implement secure data handling and streaming workflows across physical and digital systems.
Ensure compliance with industry cybersecurity and data governance standards.
Work within Agile and DevOps-based delivery frameworks, executing tasks aligned to user stories, features, and sprint objectives.
Technical and Professional Requirements:
Hands-on expertise with NVIDIA Omniverse, including Kit, Isaac Sim, OpenUSD, and ecosystem tools.
Strong understanding of AI/ML pipelines, simulation-driven training, and Generative AI models.
Experience with industrial automation, robotics systems, or virtual commissioning workflows.
Proficiency in Python and/or C++ for Omniverse extension development.
Proficiency in 3D data interoperability, CAD/PLM integrations, and real-time visualization technologies.
Solid understanding of real time physics simulation and industrial process modeling.
Ability to collaborate in multi-disciplinary engineering teams and deliver in Agile/DevOps environments.
