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

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📍 Bengaluru