Exp. Required: 10+ Year’s
Must Have Technical/Functional Skills
• Deep architecture experience in physical AI, robotics, simulation, or industrial digital twins.
• Hands-on knowledge of NVIDIA Omniverse and OpenUSD.
• Strong understanding of robotics/perception workflows, synthetic data, simulation validation, and
industrial integration.
Good to Have
Isaac Sim/Lab, Replicator, ROS2, Jetson, PLC/MES integration, 3D asset pipelines, GPU
infrastructure, or reinforcement learning.
Roles & Responsibilities
Own the target architecture for physical AI, industrial digital twins, robotics simulation, synthetic
data, and closed-loop validation across virtual and physical environments.
• Define reference architecture across NVIDIA Omniverse, OpenUSD, simulation, robotics, sensor
models, synthetic data, AI training, and deployment.
• Translate industrial use cases into simulation fidelity, asset, sensor, scenario, integration, and
validation requirements.
• Set engineering standards for USD composition, simulation interfaces, reproducibility, performance,
and lifecycle management.
• Connect virtual commissioning, factory simulation, autonomous systems, and AI workflows to
measurable outcomes.
Managerial Skills
Lead design reviews, technical trade-offs, roadmap, reusable accelerators, and cross-team
integration.