Lead Digital Twin Simulation Engineer

The Lead Digital Twin Simulation Engineer will architect, develop, and integrate advanced digital twin environments that combine discrete event simulation, real time 3D visualization, and multi system interoperability. The role emphasizes technical depth—especially within NVIDIA Omniverse, USD based workflows, simulation frameworks, and data pipelines—A working familiarity with Siemens Tecnomatix Plant Simulation for discrete-event modeling is preferable

. Digital Twin & Simulation Platform Engineering

• Architect and develop end to end digital twin solutions integrating Omniverse real time 3D environments with external simulation engines.
• Build scalable, modular USD based representations of factories, equipment, robots, AMHS pathways, and spatial layouts using Omniverse Create/Kit, USD Composer, or equivalent.
• Develop simulation logic, connectors, and microservices to orchestrate multi engine simulations through Omniverse’s collaborative compute environment.

1. Omniverse Development & USD Pipeline Ownership

• Lead development of Omniverse extensions, custom tools, interactive UI panels, or scripted automation using Python/C++ in Omniverse Kit.
• Manage USD asset ingestion, versioning, layer composition, material/geometry updates, and schema compliance.
• Integrate physics simulations (Isaac Sim, Flow, or PhysX) where applicable for accurate movement, pathing, and equipment behavior.

1. Software Engineering & Integration

• Design modular simulation microservices and reusable libraries for data ingest, scene generation, simulation orchestration, and scenario automation.
• Develop CI/CD workflows for simulation assets, USD files, Omniverse extensions, and integration services.
• Collaborate with DevOps, data engineers, and simulation engineers on build/test pipelines

1. Preferred

• functional knowledge of Tecnomatix Plant Simulation to read, interpret, or adapt DES models developed by simulation specialists.
• Build connectors or workflows that synchronize Plant Simulation outputs (material flow, cycle times, utilization) with Omniverse layers for visualization and scenario playback.
• Ensure data and state consistency across DES and Omniverse engines.