Role Overview

Serves as the primary technical authority for Physical AI engagements across robotics, industrial autonomy, simulation, synthetic data, and digital twins. Architects Omniverse and Isaac-based solutions that support simulation, sim-to-real validation, and operational digital twin use cases.

Experience Required

814 years in simulation, robotics, 3D platforms, or industrial software architecture, including 3+ years with NVIDIA Omniverse/Isaac technologies.

Key Skills & Competenci
, and third-party twin integration
Synthetic data strategy including scenario coverage, domain randomization, and sim-to-real validation
Compute sizing and TCO estimation for simulation, SDG, training, and inference workloads

Key Responsibilities




Architect federated digital twin and industrial simulation solutions using Omniverse and partner platforms
Guide synthetic data strategy, scenario design, evaluation methods, and perception/controls validation
Define benchmark plans, cluster test recipes, and sim-to-real readiness criteria
Advise on compute sizing for simulation, synthetic data generation, and inference workloads
Prepare architecture decks, gap analyses, documentation, and customer-facing solution narratives
Track Omniverse stack changes and provide migration guidance for CoE and customer programs

📌 Robotics And Control System Engineer Bengaluru (India)
🏢 Tata Consultancy Services
📍 India