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This internship project is designed to provide students with handsâon exposure to advanced photolithography equipment, forming a critical foundation of semiconductor manufacturing. The project focuses on understanding equipment behavior through analysis of process signals and sensor outputs, followed by the design and development of Internet of Thingsâbased solutions to improve process visibility and enable early event detection.
The intern will work on integrating sensing devices, controllers, servers, data transfer protocols, and visualization platforms to enable structured data collection and engineering analysis. Through clearly defined project milestones, the intern will apply analytical thinking, system integration, and engineering problemâsolving methodologies in a real manufacturing environment.
Close collaboration with Equipment Engineering, Process Engineering, Smart Manufacturing, and Data Science teams will provide exposure to crossâfunctional engineering practices while contributing to innovationâdriven manufacturing initiatives.
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Objective of the Project:
- Develop a strong understanding of photolithography equipment behavior and process signals
- Design and implement Internet of Thingsâbased solutions for enhanced process monitoring
- Enable early detection and mitigation of equipment or process anomalies through dataâdriven methodologies
- Build foundational skills in manufacturing analytics and system integration
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Opportunities to Be Offered for FullâTime Employment:
Highâperforming interns may be considered for future fullâtime employment opportunities, subject to business needs and individual performance.
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Project Scope:
- Study photolithography equipment architecture, process flow, and available sensor data
- Identify opportunities for Internet of Things integration within manufacturing tools
- Develop endâtoâend solutions encompassing data ingestion, processing, and visualization
- Apply data filtering, optimization, and analytical techniques for anomaly detection
- Contribute to ongoing Internet of Things initiatives, including:
- Nozzle cameraâbased imaging anomaly detection
- Temperature and humidity controller data analytics
- Robotic acoustic signal analysis
- Robotic motor driver anomaly correlation and analysis
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Learning Opportunities:
- Exposure to advanced semiconductor manufacturing equipment and processes
- Practical experience in Internet of Things architecture and system integration
- Application of data analytics and machine learning techniques in a manufacturing context
- Crossâfunctional collaboration with engineering and data science professionals
- Development of structured problemâsolving and technical documentation skills
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Deliverable:
- Completion of one defined phase of an existing Internet of Things project or
- Development and demonstration of a new Internet of Things solution aligned with project objectives
- Documentation of design approach, implementation methodology, and key findings
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Impact of Project:
- The project will contribute to improved manufacturing process visibility, earlier identification of abnormal events, and enhanced equipment reliability. Outcomes from the project may influence future automation, analytics, and smart manufacturing initiatives.
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Skillset Required:
- Proficiency in Python programming, including exposure to machine learning or data analytics libraries
- Basic knowledge of electronics or controllerâbased systems
- Familiarity with microcontroller platforms such as Arduino is beneficial
- Strong analytical and problemâsolving skills
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Course of Interest:
- Internet of Things
- Manufacturing Engineering
- Semiconductor Engineering
- Electrical or Computer Engineering
- Data Analytics
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Duration Period:
Minimum commitment of one full semesterâlong internship
About Micron Technology, Inc.
We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich lifefor all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our MicronÂŽ and CrucialÂŽ brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities â from the data center to the intelligent edge and across the client and mobile user experience.
To learn more, please visit micron.com/careers
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
To request assistance with the application process and/or for reasonable accommodations,please contact hrsupport_sg@micron.com
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
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