Tcs Hiring Nvidia Omniverse Architect

Tata Consultancy Services; Pune District, Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Tata Consultancy Services seeks an Omniverse Architect for its Industrial Metaverse CoE in Pune. The role centers on designing, implementing, and optimizing digital twin simulations, AI-based factory solutions, and robotics workflows for smart factories.

The candidate will lead hands-on development with Isaac Sim, create synthetic data pipelines for AI perception, and drive CuOpt-based route optimization for autonomous robots and logistics.

Qualifications

• 12+ years of overall experience in industrial metaverse, AI, robotics, or related fields.
• Hands-on technical and architectural leadership in digital twin solutions.
• Experience with simulation, AI perception, and robotics workflows.

Responsibilities

• Architect and implement digital twin solutions for smart factories and optimization.
• Lead hands-on development using Isaac Sim for robotics simulation and integration.
• Design synthetic data pipelines for AI perception model training.
• Develop CuOpt-based path planning for AMRs and logistics workflows.
• Collaborate with cross-functional teams to translate industrial requirements into Omniverse simulations.

Skills

Isaac Sim

Omniverse

Synthetic Data & AI

CuOpt / Optimization

Robotics & Factory Automation

Quality & Analytics

Azure / AWS Digital Twin integration

Python

3D pipelines (Creo/Maya)

Tools

Azure Digital Twin

IoT Integration

Job description

Omniverse Architect Industrial Metaverse & Smart Factory COE

• Department: Industrial Metaverse & Digital Twin Solutions
• Total Experience: 12+ years

About the Role:

We are establishing a state-of-the-art Omniverse Center of Excellence (CoE) to enable smart factory solutions leveraging NVIDIA Omniverse, Isaac Sim, CuOpt, and AI-driven digital twin technologies. The Omniverse Architect will be responsible for designing, implementing, and optimizing digital twin simulations, AI-based factory solutions, and robotics workflows.

This is a hands-on technical and architectural role that combines deep expertise in simulation, AI, and robotics with strategic solution design for industrial customers.

Key Responsibilities:

• Architect and implement digital twin solutions for smart factories, including factory commissioning, operational simulation, and process optimization.
• Lead hands-on development using Isaac Sim for robotics simulation, training, and digital twin integration.
• Design and execute synthetic data generation pipelines for AI perception and training models.
• Implement AI-driven quality checks and predictive maintenance solutions using Metropolis and Omniverse data.
• Develop CuOpt-based path planning and route optimization for autonomous mobile robots (AMRs) and logistics workflows.
• Collaborate with cross-functional teams (Plant Operations, Safety, Maintenance, Sustainability) to translate industrial requirements into Omniverse simulations.
• Provide best practices and standards for Omniverse modeling, simulation fidelity, and AI model training within the CoE.
• Create proof-of-concept (PoC) solutions demonstrating Omniverse capabilities for internal and client projects.
• Maintain awareness of latest NVIDIA Omniverse, AI, and robotics technologies and integrate them into COE practices.
• Integration with Azure Digital Twin or similar technologies, IOT sensor data.
• Integration with other backend systems like MES etc.

Key Skills & Expertise:

Technical Skills:

• Isaac Sim: Hands-on experience in robotics simulation, training pipelines, and digital twin creation.
• Omniverse: Strong knowledge of collaborative simulation, 3D workflows, and industrial application integration.
• Synthetic Data & AI: Experience in synthetic dataset generation, AI perception model training, and deployment.
• CuOpt / Optimization: Expertise in path planning, logistics optimization, and AMR navigation.
• Robotics & Factory Automation: Experience in robot programming, training, and operations simulation.
• Quality & Analytics: Implement AI-based quality inspections and process analytics.
• Azure or AWS Digital twin/IOT integration.
• Strong Knowledge of Python and experience in creating Robotic simulations and training.
• Understanding of 3d pipeline, Creo/Maya, to 3d twins, Textures & Material handling.

Soft Skills:

• Strong architectural thinking and ability to design scalable industrial solutions.
• Ability to collaborate with business, operations, and technical teams.
• Excellent problem-solving, mentoring, and communication skills.