Fab Equipment Engineering Intern
MACOM
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- Location
- Durham, NC
- Job type
- Full time, Internship
- Posted
- Oct 13
- 7 days ago
Career path
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About the company
MACOM
Semiconductors · 1,001 to 5,000 employees
What you'll do
- Identify available run history and operational data sources from legacy equipment
- Evaluate methods of capturing equipment activity data
- Design an intermediate data structure to standardize information from multiple equipment platforms
- Develop automated methods for collecting, organizing, and analyzing equipment activity
- Create dashboard visualizations and reports to improve visibility to tool performance
Key skills
AIanalyticsfactory automationdata collectionSECS/GEMdashboard visualizations
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Position Summary
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.
Primary Internship Project
AI-Enabled Legacy
Equipment Data Integration
Many semiconductor tools
within manufacturing environments generate valuable operational information but
lack standardized communication interfaces capable of automatically sharing
data with factory systems.
The intern will be tasked
with investigating and developing a framework to:
Identify available run history
and operational data sources from legacy equipment.
Evaluate methods of capturing
equipment activity data.
Design an intermediate data
structure capable of standardizing information from multiple equipment
platforms.
Develop automated methods for
collecting, organizing, and analyzing equipment activity.
Utilize AI and analytics tools to
classify equipment operating states, downtime events, and utilization
trends.
Create dashboard visualizations
and reports that improve visibility to tool performance.