Digital Twin & AI Automation Engineer

Roboticsconnected; Atlanta (GA); On-site; USD 39,000 - 127,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Life Insurance

Long-term disability

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking a Physical AI Automation Engineer to design and integrate digital twins, 3D environments, and simulation-based solutions that connect virtual models with physical operations. The role emphasizes digital twin engineering, ecosystem integration, and operational use of virtual models, with robotics training as a valuable but optional facet.

Responsibilities include building CGI-like environments, developing simulations for layout and throughput, and enabling data exchange

Qualifications

• Minimum 3 years of experience in digital twins, 3D engineering, simulation, or related fields.
• Hands-on experience in at least one core area: 3D model development, simulation, or virtual commissioning.
• Experience with tools such as NVIDIA Omniverse, OpenUSD, Unity/Unreal or similar platforms.

Responsibilities

• Develop and integrate digital twins for products, equipment, production lines, factories, and other operations.
• Create 3D environments and asset pipelines using CAD/BIM/PLM inputs and 3D models.
• Build solutions using 3D ecosystems like Omniverse, OpenUSD, Kit-based apps or equivalents.
• Develop simulations (discrete-event, physics-based, virtual commissioning) for layout, throughput, and validation.
• Connect digital twins with IoT, historians, PLC/SCADA, MES, ERP, and PLM systems.

Skills

Python

C++

C#

3D model development

Tools

NVIDIA Omniverse

OpenUSD

Unity

Unreal Engine

Siemens

Dassault Systemes

PTC

Ansys

FlexSim

AnyLogic

Visual Components

Job description

Accenture is seeking a Physical AI Automation Engineer to design and integrate digital twins, 3D environments, and simulation-based solutions that connect virtual models with physical operations. The role emphasizes digital twin engineering, ecosystem integration, and operational use of virtual models, with robotics training as a valuable but optional facet.

Responsibilities include building CGI-like environments, developing simulations for layout and throughput, and enabling data exchange