Lead Engineer Digital Twin

About the Role

The Lead Engineer • Digital Twin will architect, develop, and deploy digital twin solutions for manufacturing plants, emphasizing real‑time machine state modeling, prognostics & health management (PHM), and deep integration with Manufacturing Execution System (MES) platforms. The role requires expertise in digital twin frameworks, MES dataflows, and commercial platforms such as NVIDIA Omniverse, Siemens Xcelerator, PTC ThingWorx, and GE Predix. Key responsibilities include designing and implementing digital twin models for machines, lines, and entire plants, capturing operational parameters, transitions, and failure modes. The engineer will develop PHM models for predictive diagnostics and maintenance scheduling, and lead MES integration to ensure seamless data acquisition, reporting, and closed‑loop control. Collaboration with IT and OT teams is essential to deploy middleware (e.g., Kafka, HiveMQ) for scalable and secure data flows across MES, ERP, PLM, and IoT systems. The position involves evaluating, piloting, and deploying commercial digital twin platforms, leading partnerships with external vendors to accelerate adoption and demonstrate value. These initiatives support immersive visualization, comprehensive digital twin lifecycle management, IoT‑driven asset management, and industrial analytics. Continuous improvement is driven by standardizing digital twin elements across plants to ensure scalability and interoperability, while maintaining clear verbal and written communication with stakeholders. Networking across the organization helps identify critical business problems and align digital twin solutions with strategic objectives. • Design and implement real‑time digital twin models for machines, production lines, and entire plants. • Develop and integrate PHM algorithms for predictive diagnostics, maintenance scheduling, and asset lifecycle management. • Lead MES integration, ensuring seamless data flow between MES, ERP, PLM, and IoT platforms using middleware such as Kafka or HiveMQ. • Evaluate, pilot, and deploy commercial digital twin platforms (NVIDIA Omniverse, Siemens Xcelerator, PTC ThingWorx, GE Predix). • Standardize digital twin components across sites to ensure scalability and interoperability.

Key Responsibilities

• ▸digital twin
• ▸phm
• ▸mes integration
• ▸kafka
• ▸platform deployment
• ▸standardization

What You Bring

The ideal candidate holds a Master’s degree in Mechanical, Industrial, or Manufacturing Engineering (specialization in Digital Manufacturing or Data Science preferred) and has 8+ years of manufacturing engineering experience, including at least 3 years on digital twin, MES, or PHM projects. Required skills include deep understanding of machine state modeling, PHM algorithms, MES architectures, industrial communication protocols, and proficiency in data integration, middleware, cloud/edge computing, and design/simulation tools. Strong project management, self‑motivation, and the ability to work in dynamic, technology‑evolving environments are also essential. • Hold a Master’s degree in Mechanical, Industrial, or Manufacturing Engineering and 8+ years of manufacturing engineering experience, including 3+ years in digital twin/PHM projects. • Demonstrate deep expertise in machine state modeling, PHM algorithms, MES architectures, and industrial communication protocols (Modbus, Profibus, Ethernet/IP). • Proficient in data integration, middleware, cloud/edge computing, and design/simulation tools for manufacturing. • Strong project management skills, self‑motivation, and ability to communicate effectively with technical and business stakeholders.

Requirements

• ▸master’s
• ▸8+ years
• ▸digital twin
• ▸phm
• ▸mes
• ▸modbus

Work Environment

Onsite