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This position reports to:

Production Manager

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Your role and responsibilities

In this role, you will have the opportunity to optimize the Production organization’s assembly methods, processes, and equipment to minimize labor hours in accordance with business strategies related to quality, efficiency, costs, and safety. Each day, you will ensure appropriate production methods, cycle time, equipment performance, and materials/components in support of production targets. You will also showcase your expertise by defining the working phase sequence of a new production process to achieve the targeted product cost and equipment investment budget.


This role is contributing to the EL Smart Power in Xiamen China.

You will be mainly accountable for:

• Responsible for back-end development, solution design, interface development and maintenance of Production system, such as Manufacturing Execution System (MES) and Logistics Execution System (LES)
• Develop core modules covering work order management, production reporting, quality control, material traceability, equipment data collection and production reports
• Develop and jointly debug interfaces connecting MES with ERP, WMS, SCADA and on-site PLC equipment.
• Optimize system performance, troubleshoot faults, prepare technical documents, conduct code reviews and mentor junior developers.
• Lead the organization and delivery of large-scale smart manufacturing projects; coordinate task allocation, resources and schedules, organize technical reviews and issue reviews to ensure on-time and high-quality project delivery.
• Drive intelligent upgrading of MES; develop machine learning and AI applications, design integration solutions between MES and AI systems, and implement industrial AI scenarios including intelligent early warning, intelligent quality inspection and process optimization.

Qualifications for the role

• Skilled in Java, C#/.NET proficient in MySQL/SQL Server and complex SQL optimization.
• Familiar with WebService, HTTP, OPC UA and other protocols; experienced in equipment data collection.
• Sound knowledge of core MES business: production traceability, process management, production reporting and quality inspection.
• Proven experience organizing large-scale projects with outstanding task planning, cross-party coordination and project delivery capabilities.
• Hands-on experience in AI and machine learning application development; familiar with mainstream deep learning frameworks; capable of designing integration schemes connecting AI algorithms with MES business systems.
• Candidates with MES and industrial AI project experience in equipment manufacturing, electrical and electronics industries are preferred.

 More about usABB Smart Power provides energy distribution solutions for data centers, industrial and
manufacturing plants, critical infrastructure and commercial buildings. The Division’s technical teams work closely with industry partners, delivering advanced solutions that support rapid growth, energy transition, and sustainability objectives. The Division’s portfolio includes industrial circuit breakers, low-voltage systems, motor starting applications, and safety devices like switches and relays. Its Power Protection unit supports the world’s largest data center companies with advanced energy-efficient UPS solutions. The Division’s ABB Ability™ Energy Manager provides a scalable, easy-to-use platform that helps organizations save energy and reduce CO2 emissions.

Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. That's why we welcome people from all backgrounds and experiences.

Ready to make an impact?

Apply today or visit https://www.abb.com to learn more about the impact of our solutions across the globe.