Principal Physical AI and Digital Twin Architect

Centraprise, Corp.; Irving (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

Centraprise, Corp. in Irving, TX is seeking a senior architect to own the architecture for physical AI, industrial digital twins, and robotics simulation across virtual and real environments.

You will define reference architectures using NVIDIA Omniverse and OpenUSD, translate industrial use cases into fidelity and validation requirements, and set standards for USD composition, interfaces, and lifecycle management.

Qualifications

• Deep experience in physical AI, robotics, simulation, or industrial digital twins.
• Strong knowledge of NVIDIA Omniverse and OpenUSD.
• Experience with robotics/perception workflows, synthetic data, simulation validation, and cross‑environment integration.
• 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.

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.

Skills

Robotics workflows

Synthetic data

Simulation validation

Industrial digital twins

Physical AI

Tools

NVIDIA Omniverse

OpenUSD

Isaac Sim/Lab

Replicator

ROS2

Jetson

PLC/MES integration

3D asset pipelines

GPU infrastructure

reinforcement learning

Job description

• 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

Good to Have

• Isaac Sim/Lab, Replicator, ROS2, Jetson, PLC/MES integration, 3D asset pipelines, GPU infrastructure, or reinforcement learning.

• 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