Engineer, Process and Equipment 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. Location 1 North Coast Drive, Singapore Department F10 Process and Equipment Engineering, Chemical Vapour Deposition Module Project Title Big Data Analysis of Wafer Bevel Wafer Intelligent Scanner Metrics for Defect Reduction Project Description The Wafer Intelligent Scanner collects inspection data from the edge, or bevel, of wafers during semiconductor manufacturing. This internship project uses data analytics to study Wafer Intelligent Scanner metrics, identify patterns linked to defects, and determine early warning indicators that may help prevent future yield issues. The goal is to transform large volumes of inspection data into actionable insights that enable engineers to detect potential issues earlier and reduce wafer defects. The intern will gain practical exposure to semiconductor process and equipment engineering, defect analysis, machine learning, and AI-Enabled manufacturing analytics. Objective of the Project Identify Wafer Intelligent Scanner metrics associated with wafer defects and yield loss. Develop a data-driven methodology for detecting abnormal wafer bevel behaviour. Evaluate statistical, machine learning, and Artificial Intelligence t

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. Job Posting Title: Intern - F10 Process and Equipment Engineer Location: F10 Singapore, 1 North Coast Drive Department: Process and Equipment Engineering Project Title: Workstation Defects Improvement Evaluation Project Description: This internship project focuses on evaluating material solutions and process conditions to reduce manufacturing defects and improve process robustness within dry etch operations. The project centres on studying synthetic quartz rings and periodic conditioning techniques to understand their impact on defect performance and process stability. Through structured analysis, guided and AI assisted learning, the intern will develop foundational knowledge of dry etch process behaviour, tool architecture, and material interactions relevant to semiconductor manufacturing. Project Scope: The objective is to provide the intern with hands‑on learning exposure to dry etch process fundamentals while developing analytical thinking, en

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, 1 North Coast Drive Department Advanced Device Technology and Systems, Process and Equipment Engineering, Wet Process Project Title Wet Process Defectivity and Etch Rate Stability Improvement Project Description This internship project focuses on evaluating process conditions and equipment parameters to identify optimal solutions for reducing manufacturing defects, improving material etching uniformity, and enhancing process robustness within wet etch operations. The project involves structured characterization studies to develop an understanding of process and equipment behavior and evaluate techniques for reducing defectivity and process variation. Through data analysis, guided experimentation, and AI-Enabled learning, the intern will develop foundational knowledge of wet processes, equipment architecture, and semiconductor manufacturing. Objective of the Project Identify process and equipment factors that influence defectivity, etch rate uniformity, and process stability. Evaluate potential process and equipment improvements through structured characterization and data analysis. Develop recommendations that improve process robustn

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 Bendemeer, Singapore Department Assembly, Process and Equipment Engineering Project Title Assembly Output and Yield Optimization for Cost Improvement Project Description The Assembly Process and Equipment Engineering Intern will undertake an engineering project focused on improving assembly output, process yield, product quality, and manufacturing cost. Under the guidance of experienced engineers, the intern will study semiconductor assembly processes and apply engineering methodologies to identify process variations, analyze potential failure modes, and evaluate improvement opportunities. The project will include experimental planning, engineering data collection, statistical analysis, and effectiveness monitoring. The intern will also explore how data analytics, Generative AI, and Agentic AI can improve engineering analysis, technical documentation, and problem-solving workflows. Objective of the Project Identify assembly process factors that influence output, yield, product quality, reliability, and manufacturing cost. Apply structured engineering methods to investigate selected process or equipment-related opportunities.<

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. Responsibilities and Tasks • Collaborate with multi-functional network teams from PIE, Process & Equipment Engineering, WLR, TD to improve product yields and reliability within your assigned process loop. • May require travel to global Micron sites to foster collaboration and drive execution. • Communicate module related issues to the Fab engineering and leadership teams. • Design, execute, and analyze experiments to improve fab process, yield, and quality. • Collect and interpret complex data to optimize Fab processes and increase yields. • Engage and/or lead cross-area engineering teams to tackle process issues. • Work closely with global partners to stay ahead of on module related topics and process alignment projects. • Collaborate with other PI module owners and sister fabs to drive business process alignment • Partner with IE, Process and Equipment Engineering and Production to better forecast and balance yield, output and process issues • Promote network synergy through improved benchmarking and standardization of known engineering best-known methods (BKMs), business process. Requirements: • Bachelor’s or advanced degree in Engineering or Science is required • Strong a

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. The CVD Central Process and Equipment Engineering (CPEE) High Volume Manufacturing organization is seeking a highly motivated engineer to drive manufacturing excellence, equipment performance, and network-wide productivity across Micron's global semiconductor fabrication facilities. This role is responsible for developing and executing manufacturing strategies that improve equipment capability, factory output, cost competitiveness, and technology readiness while leveraging advanced analytics, digital manufacturing solutions, and AI-enabled tools to accelerate decision making and operational improvements. The successful candidate will work closely with global manufacturing teams, technology development organizations, and strategic equipment suppliers to define long-term equipment and manufacturing roadmaps, identify future capability requirements, and accelerate deployment of innovative solutions across the Micron network. This position provides a unique opportunity to influence manufacturing strategy, shape supplier development priorities, and drive competitive advantage through advanced equipment and manufacturing solutions. Strategic Manufacturing & Supplier Leadership •Develop and drive long-term manufacturing and equipment capability roadmaps to support future