Omniverse Technical Lead

Tata Consultancy Services; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Tata Consultancy Services in Bengaluru seeks a robotics AI engineer to design and develop Omniverse-based process simulations for large factories. The role focuses on digital twins, robotics training, and AI integration to optimize operations and analytics.

You will work with Isaac Sim for simulations, generate synthetic data, and apply path planning, logistics optimization, and AMR navigation to improve efficiency and quality in manufacturing environments.

Qualifications

• Strong knowledge of Python for robotics simulations and training.
• Hands-on experience with robotics simulation tools and pipelines.
• Experience in synthetic data generation, AI perception model training, and deployment.
• Proficiency in Omniverse and AI-driven quality analytics.

Responsibilities

• Design & develop Omniverse applications for process simulation in large manufacturing environments.
• Develop industrial use cases like digital twins and integration with Azure/AWS IoT/Digital Twin.
• Advance Isaac Sim-based robotics simulations and training pipelines.
• Apply AI, synthetic data, and optimization for quality inspections and analytics.

Skills

Python

Robotics simulation

Isaac Sim

Synthetic data generation

AI integration

Path planning

Logistics optimization

AMR navigation

Robot programming

Sim2Real

Tools

NVIDIA Omniverse

Azure IoT

AWS IoT

CuOpt

Job description

• Design & develop, Omniverse applications for process simulation in large manufacturing environments.
• Develop industrial use cases like operational, and asset digital twins & integrate with Azure/AWS IOT/Digital Twin
• Isaac Sim: Hands-on experience in robotics simulation, training pipelines.
• Strong Knowledge of Python and experience in creating Robotic simulations and training.
• Synthetic Data & AI Integration: 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, sim2real and operations simulation.
• Quality & Analytics: Implement AI-based quality inspections and process analytics.