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. As a Fab Engineer at Micron Technology, Inc., you will be working with a team of other process and equipment engineers responsible for starting up, developing and optimizing processes to improve product quality and reliability, working on process yield improvement, cost reduction, productivity improvement and risk management as well as resolving manufacturing line problems. This position will identify, diagnose and resolve process related problems by applying failure analysis, FMEA, 8D or SPC methodology. Additional responsibilities include coordinating and carrying out process, equipment and material evaluation/optimization to implement changes at process step, leading and participating in yield improvement and cost reduction activities, handling new process baseline qualifications and managing, auditing and liaising with material suppliers to achieve quality, cost and risk management objectives. Responsibilities: Strategize and lead productivity, yield, quality, cost improvement engagement with global sites and network team via process optimization, new/FOAK chemistry & technology qualification, CIP development collaboration with suppliers. Collaborate with cross functional team for breakthrough in defects reduction and particle removal efficiency enhancemen
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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. Summary Department Overview The Fab Engineering team supports semiconductor manufacturing by driving process performance, product quality, and operational efficiency. The team partners closely with equipment, quality, and production organizations to enable stable processes, improve yield, and deliver consistent manufacturing outcomes. Join us and make a change! Position Overview As a Fab Engineer, you will own and sustain semiconductor manufacturing processes within the fab. You will solve process issues, analyze performance data, and implement solutions that improve yield, quality, and cycle time. This role plays a direct part in enabling high-volume manufacturing through structured problem solving and multi-functional execution. Responsibilities Own process performance and drive improvements in yield, quality, and cycle time Troubleshoot manufacturing issues using structured methodologies (e.g., root cause analysis, FMEA, SPC, 8D) Analyze process data to identify trends, gaps, and improvement opportunities Define, monitor, and adjust process parameters across semiconductor manufacturing equipment Partner with cross-functional teams to resolve process excursions and implement corrective actions Support qualification and integration of new equipment, materials, and process changes Drive initiatives focused on yield improvement, cost reduction, and productivity Perform defect analysis and long-term investi
Fab15 PEE CMP Process Sustaining Engineer-1 — Hiroshima - Fab 15, Japan. Apply via Workday.
ENGINEER, HVM PEE CV/PV PR — Hiroshima - Fab 15, Japan. Apply via Workday.
ENGINEER, PEE PHOTO — Fab 10N/X, Singapore. Apply via Workday.
ENGINEER, PEE DRY ETCH — Fab 10N/X, Singapore. Apply via Workday.
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. Install, configure, qualify, sustain, and maintain semiconductor manufacturing equipment toolsets, including required hardware, software, and system interfaces, supporting the full lifecycle from installation through decommissioning. Maintain and improve tool performance to meet availability, quality, and production targets, including tool matching and configuration uniformity (hardware/software) across toolsets. Perform preventive and corrective maintenance and equipment updates in compliance with documented procedures, specifications, and engineering standards; continuously refine PM strategies using data insights. Ensure all work complies with safety policies, required training, environmental regulations/laws, and quality expectations, and proactively identify, audit, and report safety hazards. Analyze equipment data and operational metrics (e.g., SPC, FDC, ETI, Y3) to drive cost reduction, reliability improvement, efficiency gains, and optimization opportunities. Provide advanced troubleshooting, root cause analysis, and corrective actions for complex equipment issues, promptly addressing safety, quality, and operational concerns. Collaborate cross-functionally with suppliers, process owners, engineers, and technicians to coordinate daily operations, resolve issues, and support production requirements. Lead and execute improvement projects, partnering with coworkers to plan, prioritize, and deliver within scope, schedule, and budget; track and coordinate cross-functional action items to closure. Employer will accept a Bachelor's degree in M
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. Responsibility: Proactively promote safety priorities and standards Maintain vigilance and bring up workplace safety concerns Proactively supervise the performance of equipment and address any issues in a timely manner Direct shift equipment team in the execution of preventive and corrective maintenance Demonstrate a solid grasp of all Fab Support duties and able to assist in developing the technical skills of your team. Focus on Pumps, Chiller and Abatement systems. Perform administrative and supervisory duties for shift techs: attendance, staffing, and reviews Serve as the main point of contact between the FAB personnel and the Fab Support group regarding Production issues Accept responsibility for all equipment, process, and personnel issues during shift Ensure coverage as needed to maintain shift needs Coordinate shift contribution to TPM activities Foster an environment for other Fab10 employees to resolve problems, give feedback and express concern Assist with equipment installs, tests and commissioning Requirements: A relevant Diploma in any Engineering courses OR equivale
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: Conducting technical tests and experiments for process and R&D engineering in the wafer fabrication sector of semiconductor manufacturing. Setting up semiconductor processing equipment to strict specifications. Monitoring, auditing, and providing mentorship to line operators to achieve world-class results. Processing test runs and preparing detailed records, charts, and graphs of results for presentation to engineering, aimed at identifying yield problems or testing new products. Working on Fab equipment and processes to ensure outstanding performance. Tracking, preserving, and refining equipment and processes via basic troubleshooting of tool issues. Analyzing and disposing out-of-control events in accordance with established SPC rules for both tool qualification and product measurements. Assisting engineering requests through testing and experimenting on processes and equipment, while carefully gathering, recording, and examining data from these tests and experiments. Assisting in the installation, relocation, and upgrades of tools. Improving tool uptime through quality detailed problem solving and troubleshooting. <l
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. At Micron Technology, the Process Engineering division handles developing, advancing, and supporting semiconductor manufacturing processes that drive world-class memory production. The team works in close coordination with Manufacturing Engineering, Technology Development, Advanced Technology Engineering, and worldwide partners to increase equipment performance, process capability, yield, cost efficiency, and operational excellence across innovative fabrication facilities. As the Manager of Photolithography Process Engineering, you will build, develop, and lead a high-performing engineering team supporting the newest U.S. memory fabrication facility. You will drive manufacturing performance, process optimization, yield improvement, and cost reduction initiatives while ensuring alignment with Micron’s strategic business objectives. This role requires strong technical leadership, cross-functional collaboration, and the ability to employ AI-enabled technologies, advanced analytics, and data-driven decision-making to accelerate manufacturing improvements and engineering efficiency. Responsibilities Lead and develop a team of photolithography engineers, providing technical guidance, mentoring, succession planning, and performance leadership to achieve organizational objectives. Manage photolithography process improvements, equipment refinement, yield increases, and manufacturing cost savings while sustaining the highest quality and safety standards. Collaborate with Manufacturing Engineering, Technology Dev
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. Equipment Technicians are responsible for monitoring, sustaining, and improving the equipment in their assigned area, while working in partnership with Shift Operations team members, area equipment engineers and tool vendors. Equipment Technicians monitor tool performance, schedule and perform preventative maintenance on assigned tool sets, and use mechanical, electronic and PC/software skills to repair equipment issues. Main Responsibilities : Performs electrical or mechanical troubleshooting to determine problems in non-functioning electro-mechanical equipment used in the manufacturing process Dismantles, adjusts, repairs and assembles equipment according to layout plans, blueprints, operating or repair manuals, rough sketches or drawings Uses test and diagnostic equipment to perform checkouts. Rebuilds manufacturing equipment as required May perform equipment modifications as directed by engineers. Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements. Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements wi
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 – Fab10 (1 North Coast Drive, Singapore 757432) Department Fab10 High Volume Manufacturing Photo – Process and Equipment Engineering Project Title AI Agents for High Volume Manufacturing Photo Productivity and Automation Project Description High Volume Manufacturing Photo engineers perform engineering activities involving data collection, issue investigation, report generation, action tracking, and knowledge retrieval. This project provides the intern with an opportunity to explore how AI-enabled solutions can streamline selected engineering workflows, generate intelligent insights, and improve operational efficiency. The intern will collaborate with Photo engineers to understand engineering challenges, identify suitable automation opportunities, and develop project-based AI and Python solutions. The intern will also prototype AI Agents for selected use cases involving troubleshooting, workflow management, reporting, knowledge retrieval, and decision-making. Through this project, the intern will gain practical exposure to Artificial Intelligence, Large Language Models, Generative AI, Python automation, data analytics, and semiconductor manufacturing engineering. Objective o
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. Objective of the Project Develop analytical models for monitoring key quality metrics and detecting potential drift. Apply machine learning and multivariable analysis to large-scale test and measurement data. Create automated workflows that improve engineering productivity and analytical efficiency. Develop visualizations that communicate model results and quality trends effectively. Opportunities for Full Tim
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. Job Summary The Manufacturing Process Engineering Manager 1 (M1) is responsible for leading a Process Engineering team to achieve world-class manufacturing performance in safety, quality, yield, cycle time, cost, and output. The manager provides technical leadership, develops engineering talent, drives process optimization, and partners with Manufacturing, Equipment Engineering, Facilities, Quality, and Central Teams to support business objectives and technology roadmap execution. Key Responsibilities 1. Process Performance Ownership Own process performance indicators including: Yield Quality Cycle Time (CT) Cost Manufacturing Output Drive continuous improvement activities to achieve benchmark performance. Lead process optimization and recipe management activities. Resolve chronic yield and process excursions. 2. Operations & Manufacturing Support Ensure process stability and manufacturing readiness. Support daily manufacturing operations and escalation management. Lead process qualification and technology deployment activities. Partner with production teams to maximize wafer output and capacity utilization. 3. Yield & Quality Improvement Establish proactive process control culture. Utilize SPC, FDC and advanced statistical methodologies. Lead root cause investigations and corrective action implementation. Drive defe
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, Chemical Vapor Deposition (CVD) Project Title Workstation Performance Acceleration Through an Artificial Intelligence-Driven Root Cause Analysis Tool Project Description The intern will explore the application of Artificial Intelligence and machine learning to incident analysis within the Chemical Vapor Deposition process area. The project aims to transform equipment, process, and human-written incident data into structured, actionable insights that enable engineering teams to investigate recurring workstation failures more effectively. Through this project, the intern will gain exposure to semiconductor process and equipment engineering while developing and validating an AI-Enabled root cause analysis solution. The experience will involve technical learning, data analysis, model experimentation, and cross-functional engagement with production, equipment, process, hardware, and planning subject-matter experts. Objective of the Project Develop an AI-Enabled approach for interpreting human-written incident records from the Equipment Tracking Interface (ETI). Organize incident data into meaningful Pareto categories to provi
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