Fab Equipment Engineering Intern

About the role

MACOM is seeking a highly motivated Engineering Intern to support the Equipment Engineering organization within our semiconductor wafer fabrication facility. This internship is designed around a real-world engineering challenge: developing a strategy to collect and analyze operational data from legacy semiconductor manufacturing equipment that does not currently support modern factory automation interfaces such as SECS/GEM. The intern will work alongside Equipment Engineers, Technicians, Manufacturing personnel, and Automation teams to evaluate existing equipment data sources, develop methods for automated data collection, and create analytics tools capable of improving equipment visibility and decision making. This position provides hands-on exposure to semiconductor manufacturing equipment, equipment reliability engineering, manufacturing analytics, factory automation, and artificial intelligence applications in a production environment.

Responsibilities

• Assist Equipment Engineers with monitoring equipment performance and reliability metrics.
• Participate in equipment troubleshooting activities and root cause investigations.
• Support preventive maintenance and equipment improvement initiatives.
• Assist with engineering documentation and procedure updates.
• Support equipment installation, qualification, and upgrade activities as opportunities arise.
• Investigate potential sources of run log and operational data from manufacturing equipment.
• Develop methods to collect and organize equipment activity information.
• Create databases, dashboards, and reporting tools that summarize equipment utilization and performance.
• Analyze data trends and develop recommendations for future factory digitalization initiatives.
• Present project updates and findings to engineering leadership throughout the internship.

Expected Deliverables

• Assessment of legacy manufacturing equipment data sources.
• Proposed framework for equipment data collection and standardization.
• Proof-of-concept analytics dashboard.
• AI-assisted equipment utilization or event classification model.
• Final presentation summarizing results, recommendations, and future opportunities.

Required Qualifications

• Currently pursuing a Bachelor's degree in: Mechanical Engineering, Electrical Engineering, Industrial Engineering, Manufacturing Engineering, Computer Engineering, Computer Science, Data Science, Related Engineering or Technical Discipline.
• Must be actively enrolled in an accredited university and returning to school after completion of the internship.
• Strong analytical and problem-solving skills.
• Excellent verbal and written communication skills.
• Ability to work independently and collaboratively within a technical team.
• Proficiency with Microsoft Excel, Word, and PowerPoint.

Ability to work within a semiconductor cleanroom environment while wearing required personal protective equipment. Occasional lifting up to 50 pounds. Ability to sit, stand, bend, and walk for extended periods within a manufacturing environment.

Preferred Qualifications

• Experience with Python, SQL, Power BI, Tableau, or other data analytics tools.
• Experience with AI, machine learning, or data science coursework.
• Coursework related to controls systems, automation, manufacturing systems, databases, or software development.
• Previous internship, laboratory, research, or technical project experience.
• Interest in semiconductor manufacturing, equipment engineering, and factory automation.

Skills

• Semiconductor manufacturing operations
• Equipment reliability engineering
• Factory automation concepts
• Manufacturing analytics
• Artificial intelligence applications