Digital Twin Lead

Role Purpose

To establish and lead the foundational Omniverse competency within TCE, driving strategy, architecture, and delivery of digital twin solutions leveraging NVIDIA Omniverse, AI, and simulation technologies. This role will act as the technical and solution design lead interfacing with both customers and internal teams to build scalable, reusable Omniverse-based platforms and frameworks.

Key Responsibilities

1. Omniverse Platform Ownership

• Lead the setup, configuration, and scaling of NVIDIA Omniverse Enterprise stack (Nucleus, Kit, Replicator, Isaac Sim, USD pipeline, etc.) within TCE's environment.
• Evaluate and integrate relevant Omniverse connectors with CAD, PLM, BIM, and AI/ML systems.
• Define architecture for digital twin environments, simulation workflows, and real-time collaboration using USD (Universal Scene Description).

2. Solution Design & Customer Engagement

• Engage with enterprise clients (manufacturing, energy, infrastructure, utilities, smart cities, etc.) to identify use cases and design Omniverse-based digital twin solutions.
• Translate business and operational needs into Omniverse-based system architectures and prototypes.
• Create proof-of-concepts (POCs), demos, and reference architectures to showcase value.
• Support pre-sales teams in positioning Omniverse and digital twin offerings.

3. Platform Development & Integration

• Work with AI/ML, IoT, and visualization teams to integrate data streams and simulation models into Omniverse environments.
• Lead integration of Omniverse with Unity/Unreal, Python APIs, and AI-driven analytics tools.
• Build and document reusable modules, SDKs, and data connectors for future scale.

4. Evangelism & Capability Building

• Act as TCE's internal Omniverse evangelist—train cross-functional teams, define best practices, and represent TCE in NVIDIA ecosystem events.
• Partner with NVIDIA Developer Relations / ISV team to align on joint go-to-market initiatives.

Key Skills & Experience

Technical Competencies

• Deep hands-on experience with NVIDIA Omniverse Enterprise, including Nucleus, Kit, Replicator, or Isaac Sim.
• Strong knowledge of USD (Universal Scene Description) workflows, 3D data pipelines, and digital twin architectures.
• Experience integrating Omniverse with CAD/BIM tools (e.g., Revit, Siemens NX, CATIA, SolidWorks, or Bentley).
• Strong Python or C++ programming skills.
• Exposure to AI/ML, simulation, rendering pipelines, or real-time visualization technologies.
• Familiarity with NVIDIA RTX, CUDA, DeepStream, or related GPU computing platforms.
• Experience with cloud platforms (AWS, Azure, GCP) for hosting or scaling digital twin environments.

Professional Competencies

• Excellent solutioning and customer-facing skills – able to translate technical capability into business value.
• Strong system architecture mindset – can design and orchestrate multi-system integrations.
• Entrepreneurial, self-starter attitude to build capability from scratch.
• Excellent communication, presentation, and stakeholder management skills.

Education & Experience

• B.E./B.Tech or M.Tech in Computer Science, Mechanical, Electrical, or related fields.
• 8–12 years of total experience, with at least 2+ years hands-on in Omniverse or equivalent 3D simulation platforms.
• Prior experience in digital twin, simulation, or 3D visualization projects preferred.
• NVIDIA certification or prior association with the NVIDIA ecosystem is a plus.