Principal Physical AI and Digital Twin Architect-Robotics/ Perception

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.