Intern-Automation Engineer

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Project Title: MMP Yield Performance Tracker and Dynamic Dashboard Automation Enhancement Description: This project aims to automate yield target extraction and implement a dynamic dashboard that automatically retrieves data from available sources. Scope: -Automate extraction of yield target data from TPD. -Store yield targets in a structured database. -Consolidate target and actual yield data in a single dashboard. -Ensure data accuracy and consistency. Supporting Team: -Site Test Engineering -IT Team -Product Team Deliverables: -Data Automation -Yield Calculation Enhancement -Smart Data Integration -Dashboard Improvement -Documentation & User Adoption Stretch Goal: -Fully automate data collection and yield calculations with minimal manual effort. -Automatically apply the correct yield calculation based on product configuration. Requirement: -Bachelor’s Degree in Electronics Engineering, Electrical Engineering, Computer Engineering, Data Science, Software Engineering, or a related discipline. -Candidates with exposure to Artificial Intelligence, Data Analytics, Software Development, or Automation projects are preferred. 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

Job Details: Job Description: Intel Foundry Automation - Back End Automation Group is seeking a talented student to support our Automation Integrators in advancing manufacturing automation systems. Key Responsibilities: • Assist Automation Integrators with troubleshooting, system upgrades, user training, and root cause analysis to improve efficiency and reduce waste. • Enable Automation Integrators in designing, developing, testing, and debugging software for factory operations, wafer processing, and packaging across multiple software layers. • Support client-based Station Controller systems through validation, troubleshooting, and quality control. Collaborate with global cross-functional teams to drive automation projects and integrate machine learning and AI solutions as needed. Qualifications: Candidates must be currently pursuing a bachelor's degree in computer science, Data Science, Computer Engineering, or a related discipline. They should possess strong analytical, problem-solving, and communication skills, along with hands-on programming experience in languages such as Python, C, and C#. Knowledge of Agile software development methodologies and experience with manufacturing systems are highly desirable. Job Type: Student / Intern Shift: Shift 1 (Malaysia) Primary Location: Malaysia, Penang Additional Locations: Malaysia, Kulim Posti

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Project Title: - Support Autoshell host enablement for Enclosure Attach Scope: - Perform system setup to enable autoshell host for tools in Enclosure Attach Processes. - Perform user acceptance testing (UAT) and data analysis - engage with cross functional team (engineering, IT, manufacturing, tool vendor) for setup and testing - prepare standard operating procedures and provide training Supporting Team: - Process & Equipement Engineering team - IT team - Manufacturing Team Deliverables: - able to enable tool communication with host - able to perform and complete UAT - Data collection and analysis - able to write SOP and provide training to mfg team Stretch Goal: - Able to enable host automation for Enclosure Attach. - Able to improve process control for Enclosure Attach. Requirement: - Bachelor of Computer science & engineering - Bachelor of IT engineering - Any related engineering field 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 Cruci

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Project Title: Development of an AI-Driven Reliability Analytics and Automation Framework for NAND Product Engineering Description This project aims to use an already developed intelligent analytics and automation framework to enhance efficiency, decision-making, and productivity within NAND Reliability Engineering. The intern will leverage data analytics, artificial intelligence (AI), and software automation techniques to process large volumes of reliability and qualification data, identify trends, and generate actionable engineering insights. Key responsibilities include: Analyzing NAND reliability and qualification datasets to identify patterns and improvement opportunities. Presenting technical findings and recommendations to engineering teams. Scope of Work - Execution of MAF/ULR wave tests - Log collection and analyzing - Level-1 Failure Analysis Supporting team NAND Intrinsic Reliability (NIR) Team (Primary) Global Quality & Reliability Engineering (QRE) Team Test Program Development Team Deliverables Technical Documentation User guide, architecture overview, and maintenance documentation. Source code repository with appropriate documentation. Final Presentation Presentation summarizing project objectives, methodology, results, lessons learned, and future enhancement opportuni

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Internship Project Outline Template Project Title: Module Site TE CATALYST Project Description: This project will establish a systematic and repeatable method to collect, validate, review, and report data during new Module Test tester setup and qualification. The intern will work with the Test Engineering team to convert fragmented setup records into a controlled data package with clear ownership, review gates, and approval evidence. An AI-assisted review concept will be piloted to identify missing data, unusual trends, and potential setup or qualification concerns for engineer verification. Final tool release decisions will remain with the responsible engineers. The CATALYST Project need requalification process for SMT6 tester which needs relocation. Additional support is required to drive project completion, ensure compliance with operational requirements, and facilitate successful adoption by Site TEs across all qualification scenarios. The ideal candidate should be pursuing or have obtained a Bachelor's degree in Electronics Engineering or Mechanical Engineering, with an interest in manufacturing, testing, and equipment qualification processes. The ideal candidate should be pursuing or have obtained a Bachelor’s degree student in Electronics, Electrical, Mechatronics, Mechanical, Computer, Data Science, or Artificial Intelligence Engi

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Project Title MMP PPJ (part per jam) performance tracker enhancement Description The current PPJ performance tracker requires significant manual effort to update and monitor performance data. The dashboard is not fully dynamic because it relies on data manually downloaded into Excel. The tracking system that serves as the PPJ data source contains a large volume of information, making direct database retrieval difficult. As a result, engineers must manually download and update PPJ data. MMP also supports multiple product configurations across different test platforms, including SM3416/TW350HT and SM3316/TW322SM. Therefore, PPJ performance must be separated by test platform. PPJ alarm codes should also be used to identify faulty parts more effectively. Scope Automatically convert PPJ data into trend charts using PowerBI Retrieve data from the database and automatically generate trend charts. Link equipment IDs with the corresponding alarm codes. Map alarm codes to the associated faulty parts. Supporting Team MMP Site Test Equipment Engineering Deliverables Data Extraction and PPJ Trend Chart — Develop an automated process to extract PPJ data from the source database and convert it into clear trend charts. This will reduce manual Excel updates, improve data consistency, and allow engineers to quickly mo