Intern - Manufacturing Technician (Dry Etch)

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Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

• Summary: Applying automation software to improve productivity of the equipment engineering team. Learn about the importance of equipment parameters to wafer processing and apply data analytics on them for monitoring and deviation detection.
• Department: Manufacturing Dry Etch
• Project Title: Developing Automation Solutions to Improve Productivity and Enhancing Deviation Detection in Equipment Engineering
• Project Description:
  This project focuses on the design and implementation of automation solutions to enhance productivity within the equipment engineering function in a semiconductor manufacturing environment. The intern will work closely with engineering stakeholders to understand equipment processes, key parameters influencing wafer fabrication, and current operational challenges that can be improved through automation.
  The intern will gain exposure to different automation platforms and data systems available within the organization, and learn how these tools are applied to streamline workflows and reduce reliance on manual data handling. In addition, the intern will explore the relationship between equipment parameters and process outcomes, and apply data analytics methods to monitor performance and identify deviations.
  Through this structured project, the intern will develop both technical and analytical capabilities while contributing to a defined improvement initiative within the engineering domain
  Objective of the Project
  
  • Develop automation solutions that improve engineering workflow efficiency
  • Apply data analytics techniques to equipment parameters for monitoring and deviation detection
  • Build understanding of equipment behaviour and its impact on wafer processing outcomes
• Scope:
  
  • Design and implement automation solutions using available engineering tools and platforms
  • Develop automated data extraction, transformation, and visualization workflows
  • Analyze equipment parameters and evaluate correlations across datasets
  • Apply analytical techniques to study equipment matching and performance trends
  • Identify opportunities to enhance process visibility and data-driven decision-making
• Deliverable: Automated way to replace manual touches and manual data pulling for day to day shift equipment team operation. Enhanced data monitoring to improve deviation detection.
• Impact of Project: Improved productivity and deviation detection
• Skillset Require:
  
  • Analytical thinking and problem-solving capability
  • Basic knowledge of data analytics and data visualization
  • Programming or scripting exposure is an advantage
  • Ability to interpret data and translate findings into engineering insights
• Course of interests: Engineering, data analytics related courses.
• Duration Period: min 5 months

About Micron Technology, Inc.
We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for 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 Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities - 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.
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