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USA-Pennsylvania-Breinigsville-9999 Hamilton Blvd, United States of America
Onsite
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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 visualization and reporting tools
Preferred Qualifications
Previous experience designing and deploying MES systems in a manufacturing environment
Experience implementing AI-driven manufacturing or Industry 4.0 initiatives
Knowledge of machine learning applications in production environments
Experience with cloud platforms: AWS, Azure, Google Cloud
Familiarity with: Digital twins, Predictive maintenance, Process optimization
Experience in regulated manufacturing environments
MES vendor certifications preferred
Soft Skills
Strong analytical and problem-solving abilities
Excellent communication and cross-functional collaboration skills
Ability to manage multiple projects simultaneously
Strong documentation and organizational skills
Self-motivated with continuous improvement mindset
Ability to translate business needs into technical solutions
Key Deliverables
Successful MES deployment and integration
Improved manufacturing visibility and traceability
Reduced downtime and production errors
Accurate reporting and data-driven decision making
User adoption and operational support
Compensation and Benefits
As a valued member of our team, you'll be eligible for a discretionary annual bonus and the opportunity to receive not only a competitive new hire equity grant, but also annual equity awards, connecting your success directly to the company's growth. All subject to relevant plan documents and award agreements.
Broadcom offers a competitive and comprehensive benefits package: Medical, dental and vision plans, 401(K) participation including company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company paid holidays, paid sick leave and vacation time. The company follows all applicable laws for Paid Family Leave and other leaves of absence.
Broadcom is proud to be an equal opportunity employer. We will consider qualified applicants without regard to race, color, creed, religion, sex, sexual orientation, national origin, citizenship, disability status, medical condition, pregnancy, protected veteran status or any other characteristic protected by federal, state, or local law. We will also consider qualified applicants with arrest and conviction records consistent with local law.
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