Intern - TD Wet Process Data Analytics and Process Optimization

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. Location: F10 Singapore Department: New Technology Introduction (NTI), Micron Technology Singapore Project Overview The New Technology Introduction (NTI) organization in Micron Singapore focuses on advancing process technology development for new memory technology nodes prior to manufacturing deployment. This internship is structured as a project‑based learning assignment centered on applying data analytics and AI‑based modeling techniques to wet etch and wet clean processes used in advanced memory fabrication. The project provides exposure to how modeling, experimentation, and data‑driven insights enable process margin identification, failure mode understanding, and accelerated technology learning during development phases. Learning Objectives Through this internship project, the intern will: Gain foundational understanding of semiconductor wet etch and wet clean process technologies Learn how AI and data analytics are applied in process technology development environments Develop skills in experimental planning, data interpretation, and model validation Build technical communication skills through structured documentation and presentations Understand cross‑functional interactions involved in technology development and manufacturing readiness Project Scope & Key Responsibilities The internship project covers the following technical areas: Development and optimization of data‑driven and AI‑based models for wet etch and wet clean processes Identification of process margins and potential failure modes during technology learning phases Planning and execution of design of experiments (DOE) to generate structured datasets Analysis of experimental data using critical dimension (CD) measurements, scanning electron microscopy (SEM), and other wet process characterization techniques Evaluation of model accuracy through correlation of predictions with experimental outcome Exploration of process enhancement opportunities to meet defined structural and electrical criteria Deliverables At the conclusion of the internship, the intern is expected to deliver: AI or data‑driven models addressing defined wet process development objectives Experimental plans and summarized results from completed DOEs Data analysis reports correlating process behavior with model predictions Recommendations for process improvement or optimization opportunities Final project presentation and technical documentation Skillsets Required Strong analytical and logical problem‑solving ability Basic knowledge or interest in data analytics, modeling, or machine learning techniques Familiarity with experimental data analysis and interpretation Clear written and verbal communication skills Ability to manage multiple technical tasks within a structured project environment Course of Interest Candidates must be currently pursuing a full‑time undergraduate degree in Chemical Engineering, Materials Science and Engineering, Electrical Engineering, or Mechanical Engineering. Duration / Period Minimum 5 months, Semester Internship: August 2026 to December 2026 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. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.