Intern - Technician- PEE Post Elect Process Engineering

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. Department Post Electrical Process Engineering Project Title Machine Drift Detection Using Advanced Data Analytics and Machine Learning Project Description Semiconductor manufacturing processes generate large volumes of machine and inspection data that can be leveraged to improve product quality and process stability. This project focuses on the development of advanced data analytics and machine learning approaches to identify early signals of machine-related quality variations. The objective of this project is to design and develop an end-to-end analytics solution using machine and measurement data, covering data extraction, preprocessing, modeling, and result visualization to enable earlier detection of potential quality issues. Objective Of The Project Develop understanding of machine data structures and quality-related signals in semiconductor manufacturing Apply data analytics and machine learning techniques to identify patterns associated with process variation Gain exposure to end-to-end solution development, from data processing to visualization Project Scope Design and implement data processing workflows for machine log, inspection, and measurement datasets Develop machine learning models for feature selection, pattern recognition, and drift detection Evaluate modeling approaches to identify early indicators of potential quality variation Analyze relationships across multiple variables to understand process behavior and optimization opportunities Develop visualization of analytical results to facilitate interpretation and insights Document data workflows, model design, and analytical findings for knowledge transfer Learning Opportunities Exposure to industrial data analytics and machine learning applications Experience in handling large-scale manufacturing datasets Understanding of modeling, simulation, and optimization techniques Opportunity to work on real-world engineering problems and translate data insights into meaningful outputs Interaction with engineering subject matter experts to understand process and data context Deliverables Data processing and analytics workflow for machine and inspection datasets Machine learning model for drift detection and pattern identification Analytical outputs and visualization of model results Documentation of methodology, model development, and key findings Impact Of Project This project contributes to improved detection of process variation signals and enables data-driven insights for enhancing product quality and process stability. Skillsets Required Basic knowledge of programming (Python or equivalent) Understanding of data analytics and machine learning concepts Analytical thinking and problem-solving skills Familiarity with data processing and statistical analysis is advantageous Course Of Interest Computer Science Data Science / Data Engineering Engineering (Electrical, Mechanical, Industrial, or related fields) Statistics or Applied Mathematics Duration Period Minimum 5 months (Semester Internship from September 2026 to February 2027) 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.