Digital Twin & AI Automation Engineer

Information Technology Senior Management Forum; Atlanta (GA); On-site; USD 60,000 - 120,000; Full time

Benefits offered by this job

Medical/dental/vision insurance

401(k) plan

Bonus opportunities

Paid holidays and paid time off

Job summary

Accenture seeks a Physical AI Automation Engineer to design and integrate digital twins and simulations across manufacturing and logistics environments. You will build 3D environments, connect models to industrial systems, and create reusable components for delivery teams.

Role requires hands-on expertise in digital‑twin tech, programming (Python/C++/C#), and strong collaboration with AI, robotics, and operations teams. Travel up to 75% is expected across locations.

Qualifications

• Minimum 3 years of experience in digital twins, 3D engineering, simulation, industrial software, game engines, engineering applications or systems integration.
• Hands‑on experience in at least one core area: 3D model development and integration; discrete-event or process simulation; physics-based simulation; virtual commissioning; industrial data integration.
• Experience with one or more relevant tools or ecosystems such as NVIDIA Omniverse, OpenUSD, Unity, Unreal Engine, Siemens, Dassault Systemes, PTC, Ansys, FlexSim, AnyLogic, Visual Components or comparable platforms.
• 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.

Responsibilities

• Develop and integrate digital twins for products, equipment, production lines, factories, warehouses, engineering environments and other physical operations.
• Create and prepare 3D environments and asset pipelines using CAD/BIM/PLM inputs, 3D models, scans or reality‑capture data, with appropriate asset hierarchy, semantics and configuration.
• Build solutions using NVIDIA Omniverse, OpenUSD, Nucleus, Kit‑based applications or comparable 3D and virtual‑world ecosystems.
• Develop or integrate discrete-event, process-flow, physics-based and virtual commissioning simulations for layout, throughput, material flow, cycle time, resource utilization and operational validation.
• Connect digital twins and simulations with industrial and enterprise systems such as IoT platforms, historians, PLC/SCADA, MES, WMS, ERP, PLM and engineering data.
• Develop Python or C++ extensions, connectors, APIs, data pipelines and automation services that connect models, simulation engines, operational data and downstream applications.
• Support model calibration, scenario design, simulation experiments, validation, sensitivity analysis and interpretation of results with engineering and operations stakeholders.
• Create virtual environments for design reviews, operator training, process validation, commissioning preparation and operational decision support.
• Implement testing, version control, configuration management, CI/CD, deployment, monitoring and documentation practices for production-quality twin and simulation solutions.
• Collaborate with architects, manufacturing and warehouse SMEs, simulation specialists, data/AI teams, robotics teams and ecosystem partners.
• Contribute reusable digital‑twin templates, connectors, simulation components, reference implementations and delivery standards.

Skills

Digital twins

3D engineering

Simulation

Python

C++

C#

Software integration

Data integration

Tools

NVIDIA Omniverse

OpenUSD

Unity

Unreal Engine

Siemens

Dassault Systèmes

PTC

Ansys

FlexSim

AnyLogic

Visual Components

Job description

Accenture seeks a Physical AI Automation Engineer to design and integrate digital twins and simulations across manufacturing and logistics environments. You will build 3D environments, connect models to industrial systems, and create reusable components for delivery teams.

Role requires hands-on expertise in digital‑twin tech, programming (Python/C++/C#), and strong collaboration with AI, robotics, and operations teams. Travel up to 75% is expected across locations.