MES Software Engineer/Data Analyst

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Job Description:

Broadcom is seeking an experienced MES (Manufacturing Execution System) Software Engineer/Manufacturing Systems Developer to design, develop, deploy and continuously enhance a custom MES platform that can incorporate AI-driven capabilities for semiconductor wafer fabrication operations. The role will work closely with operations, engineering, IT, IE, quality, and production teams to modernize manufacturing processes, improve traceability, optimize production efficiency, and integrate intelligent automation and analytics.

Located in Breinigsville, PA, our high volume, 24/7 manufacturing facility produces products to enable fiber optic communication expansion. Successful candidates will possess a strong combination of semiconductor manufacturing knowledge, software development expertise, database architecture experience, and data analytics skills. The individual will work closely with manufacturing, engineering, IT, industrial engineering, quality, and operations teams to develop internally owned manufacturing applications that improve traceability, productivity, automation, and decision-making across the fab. Candidates are expected to lead projects from inception to maturity while interfacing with suppliers, industry partners and on-site engineering teams.

Core Responsibilities

• Design, configure, develop, and implement MES platforms supporting semiconductor manufacturing operations

• Build configurable manufacturing workflows, process routes, dispatching logic, production tracking, and electronic work instructions.

• Design and develop MES application frameworks, APIs, services, and user interfaces.

• Create scalable database architectures supporting genealogy, traceability, SPC, quality management, WIP tracking, and manufacturing analytics.

• Develop integrations between MES and ERP, equipment automation systems, PLCs, SCADA platforms, historians, laboratory systems, and enterprise applications.

• Build custom dashboards, reporting tools, analytics platforms, and real-time manufacturing monitoring applications.

• Develop AI-enabled capabilities including predictive maintenance, anomaly detection, process optimization, intelligent scheduling, and decision-support systems.

• Configure production tracking, genealogy, quality management, electronic batch records, and traceability functions

• Collaborate with data science and AI teams to integrate predictive analytics, machine learning, and automation tools

• Collaborate with manufacturing and engineering teams to translate business requirements into software solutions.

• Create technical documentation, system specifications, SOPs, training materials, and support documentation.

• Ensure cybersecurity, data integrity, system reliability, and regulatory compliance requirements are met.

• Support software lifecycle management, upgrades, performance optimization, and long-term platform strategy.

• Support system upgrades, patches, and long-term scalability planning

Required Qualifications

• Education: BS in Computer Science, Software Engineering, Computer Engineering, Industrial Engineering, Manufacturing Engineering, Information Technology, Automation, or related field and 8+ years of experience; or MS in Computer Science, Software Engineering, Computer Engineering, Industrial Engineering, Manufacturing Engineering, Information Technology, Automation, or related field and 6+ years of experience

• Experience developing, implementing and supporting MES platforms

• Experience building internally developed MES or manufacturing applications is highly desirable.

• Semiconductor, Pharmaceutical, Medical device, Automotive, Electronics manufacturing experience strongly preferred

• Experience with MES platforms such as Siemens Opcenter, Rockwell FactoryTalk, Ignition, AVEVA/Wonderware, SAP ME/MII, Tulip, Critical Manufacturing, Apriso

• Programming experience in SQL, Python, C#, JavaScript, .NET

• Knowledge of REST APIs, OPC UA, MQTT, Industrial networking, Database management

• Experience integrating MES with ERP systems, PLCs, SCADA, IoT devices, Cloud platforms

• Understanding of AI/ML concepts and industrial AI applications

• Familiarity with data visua