Senior Physical AI Automation Engineer

What you'll do

• Develop and integrate digital twins for products, equipment, production lines, and other physical operations.
• Create 3D environments and asset pipelines using CAD, BIM, PLM data, and reality-capture inputs.
• Build simulation models to validate layout, throughput, material flow, cycle time, and resource utilization.
• Connect digital twins with industrial systems such as IoT platforms, PLC/SCADA, MES, and ERP systems.
• Develop Python or C++ extensions, APIs, and data pipelines to automate connections between models and operational data.
• Support model calibration, scenario design, and the interpretation of results for engineering and operations stakeholders.
• Create virtual environments for design reviews, operator training, and process validation.
• Implement software engineering practices including version control, CI/CD, and documentation for production-quality solutions.

What we're looking for

• Minimum 3 years of experience in digital twins, 3D engineering, simulation, industrial software, game engines, or systems integration.
• Hands-on experience in 3D model development, discrete-event/process simulation, physics-based simulation, virtual commissioning, or industrial data integration.
• Proficiency with tools such as NVIDIA Omniverse, OpenUSD, Unity, Unreal Engine, Siemens, Dassault Systemes, PTC, Ansys, FlexSim, AnyLogic, or Visual Components.
• Programming or scripting capability in Python, C++, C#, or a comparable language.
• Ability to translate engineering or operational requirements into models, simulation scenarios, integrations, and testable outcomes.
• Understanding of software engineering, testing, documentation, and structured delivery practices.
• Experience with NVIDIA technologies like Nucleus, Kit SDK, or Isaac Sim (preferred).
• Experience in CAD/BIM/PLM integration, 3D optimization, reality capture, or industrial ecosystem integration across IoT, PLC/SCADA, MES, WMS, and ERP (preferred).