Intern Manufacturing Dry Etch

SG, Singapore

Job Description

Our vision is to transform how the world uses information to enrich life for all.




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:

Develop and implement automation solutions to improve the productivity of the equipment engineering team with the use of available Micron resources and systems. Working alongside the equipment engineering team to learn and understand their roles and responsibilities, as well as their challenges to identify opportunities for productivity improvement, and developing innovative solutions. + In this project, the student will learn about the different automation methods available in Micron and how they can be applied for improving operation productivity.
+ The student will have the opportunity to learn and apply industrial data analytics on equipment parameters to improve on deviation detection to ensure that product process of high yield.
+ The intern will also have opportunity to participate in day to day meetings with the tool supplier team to contribute ideas and learn from the subject experts.

Scope:

Explore various automation software, including Power BI, Gobot to create automated flow and improve productivity of the manufacturing equipment team. Explore equipment parameters and inline correlation. Explore equipment matching analytics and E3 FD monitoring.

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:

General problem solving, data analytics

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.



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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Job Detail

  • Job Id
    JD1573464
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Internship
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    SG, Singapore
  • Education
    Not mentioned