Digital Twin AI Automation Engineer

Accenture; Irving (TX); On-site; USD 39,000 - 131,000; Full time

Job summary

Accenture is seeking a hands-on Physical AI Automation Engineer to design and implement digital twin, 3D engineering, and simulation solutions that bridge virtual models with physical operations. Role emphasizes digital twin depth, ecosystem integration, and operational use of virtual models with robotics experience as a plus.

The position involves traveling up to 75% and requires expertise in Python/C++, 3D modeling, and industrial data integration across IoT, MES, ERP and PLM systems.

Qualifications

• 3+ years in digital twins, 3D engineering, simulation or related fields.
• Hands-on in core areas: 3D model development, discrete-event or physics simulations.
• Experience with NVIDIA Omniverse, OpenUSD or similar ecosystems.
• Programming in Python or C++/C# and data integration skills.
• Ability to translate requirements into models and testable outcomes.

Responsibilities

• Develop and integrate digital twins for products, equipment, lines, and facilities.
• Create 3D environments using CAD/BIM/PLM inputs and asset pipelines.
• Build simulations (discrete-event, physics-based, virtual commissioning).
• Connect twins to IoT, MES, ERP and other enterprise systems.
• Develop extensions, connectors and data pipelines; enable automation services.
• Support calibration, scenario design, and validation with stakeholders.
• Create virtual environments for training and design reviews.
• Implement CI/CD, version control, and production-quality practices.
• Collaborate with architects, robotics and data/AI teams.

Skills

Digital twins

3D engineering

Python

C++

Industrial data

Systems integration

Simulation

Automation

Tools

NVIDIA Omniverse

OpenUSD

Unity

Unreal Engine

Siemens

Dassault Systemes

PTC

Ansys

Job description

Accenture is seeking a hands-on Physical AI Automation Engineer to design and implement digital twin, 3D engineering, and simulation solutions that bridge virtual models with physical operations. Role emphasizes digital twin depth, ecosystem integration, and operational use of virtual models with robotics experience as a plus.

The position involves traveling up to 75% and requires expertise in Python/C++, 3D modeling, and industrial data integration across IoT, MES, ERP and PLM systems.