Physical AI Automation Engineer / Senior Engineer

We are: Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 799,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com . You are: The Physical AI Automation Engineer is a hands-on practitioner who develops and integrates digital twin, 3D, simulation and industrial-data solutions that connect virtual environments with physical operations. The role has broad Physical AI scope, with primary depth in digital twin and simulation engineering, ecosystem integration and operational use of virtual models. Robotics training and orchestration experience is valuable but complementary rather than the defining center of the role.

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.

Travel is required for this role and could vary up to 75% Here’s what you need: 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