Lead Engineer

Position: Lead – NVIDIA Omniverse & Digital Twin Solutions

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.