Semiconductor Equipment Engineer in Singapore

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 Singapore Department Process Equipment Engineering (PEE) Project Title AI-Enabled CMP Equipment Health & Breakage Risk Prediction Dashboard Project Description Chemical Mechanical Planarization (CMP) tool performance directly influences wafer quality, equipment reliability, and manufacturing efficiency. This project focuses on developing an AI-Enabled dashboard that integrates fab equipment and manufacturing data to identify early indicators of wafer breakage, equipment degradation, and yield excursions. The intern will work on data exploration, predictive analytics, and visualization techniques to develop an intelligent monitoring solution that enables proactive decision-making. Through this project, the int

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 d

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. In this role, you'll innovate and optimize 3D NAND equipment, collaborating closely with suppliers and leading complex projects to enhance equipment technology for technical advantage and cost efficiency. You'll work with process development peers to determine equipment technology choices, oversee tool installation and qualification, and manage development projects while maintaining comprehensive documentation and ensuring safety compliance. Strong communication and collaboration skills are crucial, as you'll build relationships with partners both locally and globally, providing technical insights and updates to senior management. With 2-3 years of semiconductor industry experience, you'll be self-motivated and adaptable to a fast-paced environment, prioritizing and managing multiple projects to

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 Summary As a Fab Process & Equipment Engineer in Micron Technology, Inc., you will be working with a team of engineers responsible for process start-up, development and optimization, product yield, quality and reliability improvements, cost reduction, cycle-time & productivity improvements, risk management, solving sophisticated manufacturing line issues and engineering operations such as wafer dispositions and process release qualifications. This position also identifies, diagnoses and troubleshoots complicated process related problems by applying failure analysis, FMEA, 8D, and SPC methodology. Additional responsibilities include coordinating and executing process/equipment/material evaluations and optimization, implement improvements at process steps/loops, participating in new proce

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 Singapore Department Process and Equipment Engineering Project Title Artificial Intelligence Transformation for Process and Equipment Engineering Project Description Artificial Intelligence Transformation for Process and Equipment Engineering aims to enhance engineering productivity, manufacturing excellence, and data-driven decision-making through the application of Artificial Intelligence, automation, and advanced data analytics. The intern will undertake a defined engineering project that explores how AI-Enabled tools and digital workflows can improve the way engineers access technical information, analyze manufacturing data, investigate engineering challenges, develop solutions, and identify improvement oppor

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 Singapore Department Photolithography Engineering Project Title Large-Scale Photolithography Software Stack Integration Project Description Photolithography is one of the most software-intensive and technologically advanced manufacturing processes in semiconductor manufacturing. Maintaining world-class performance requires an integrated software ecosystem spanning process control, equipment connectivity, data engineering, automation, visualization, machine learning, and decision-support systems. As an intern within the Photolithography Engineering team, you will collaborate with process, equipment, data, and manufacturing engineers to design and develop software solutions that transform large-scale manufacturing data i

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 effec

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-

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 imp

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 Singapore Department SSD Assembly Process & Equipment Engineering Project Title AI-Enabled SSD Depanel Process Characterization and Optimization Project Description This internship project focuses on characterizing process variations in SSD depanel operations within a high-volume manufacturing environment. The project aims to deepen understanding of the interactions between process parameters, equipment performance, and product quality outcomes. The intern will undertake a structured engineering project involving Design of Experiments (DOE), statistical analysis, process characterization, and data-driven optimization techniques. In addition, the intern will explore AI-Enabled approaches to improve 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. 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 roadm

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 Singapore Department Test Engineering Project Title AI-Enabled Predictive Analytics for SSD Test Equipment Health Monitoring Project Description Objective of the Project Develop a data-driven equipment monitoring framework that leverages engineering data and AI-enabled analytics to identify early indicators of equipment degradation, optimize maintenance strategies, and improve SSD test equipment reliability in a high-volume semiconductor manufacturing environment. The intern will gain hands-on exposure to semiconductor manufacturing, equipment engineering, data analytics, automation, and AI-enabled engineering workflows while working on real-world manufacturing challenges.

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 Advanced Technology and Solutions, Process Equipment Engineering, Chemical Mechanical Planarization Project Title AI-Enabled Chemical Mechanical Planarization Process Optimization and Equipment Characterization Project Description The intern will undertake a structured engineering project focused on Chemical Mechanical Planarization process optimization, equipment characterization, and manufacturing excellence within a semiconductor manufacturing environment. The project will provide practical exposure to process and metrology data analysis, statistical methods, process capability assessment, material or equipment qualification, and Artificial Intelligence-Enabled engineering workflows. The intern will collaborate with cross-function

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: Develop and oversee global electrical and equipment safety programs and standards Act as Micron’s technical expert for electrical and equipment safety, covering complex and high-risk systems Consistently interpret and implement SEMI S2, NFPA 79, and IEC 60204-1 across sites and suppliers Lead and approve electrical safety documentation reviews and third-party assessments Influence safe-by-design outcomes through cross-functional and supplier engagement Minimum Qualifications: Bachelor’s degree in Electrical Engineering or a related field 10 years of experience in electrical safety, equipment engineering, maintenance, or EHS engineering Demonstrated experience leading complex electrical safety eva

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 Micron Singapore, Fab 10 (1 North Coast Drive, Singapore 757432) Department Photolithography Process and Equipment Engineering Project Title AI-Enabled Quality Drift Detection and Engineering Workflow Automation Project Description Advanced data analytics and machine learning are increasingly used in semiconductor manufacturing to improve efficiency, process control, and quality performance. This internship project focuses on applying data analytics and machine learning techniques to large-scale quality datasets for faster detection of quality-metrics drift. The intern will contribute to an end-to-end solution covering data querying, preprocessing, analytics, modelling, and results visualization. Ob