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.
Posted July 29, 2026