Intern Process And Equipment Engineer Jobs

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 Department Fab10 High-Volume Manufacturing Photo Process and Equipment Engineering Project Title Automation of Non-Zero-Offset Control for High-Volume Manufacturing Photo Processes Project Description Non-Zero-Offset is a key photo-process control parameter used in overlay-performance management and yield protection. The current workflow includes data preparation, Non-Zero-Offset generation, engineering review, validation, and post-implementation monitoring. As the number of process vintages increases, a scalable analytical approach is needed to improve workflow consistency and efficiency. The intern will undertake a structured project to develop and evaluate an automated, data-driven Non-Zero-Offset framework using Python, statistical analysis, machine learning, and visualization. The project will provide practical exposure to photo-process engineering, inline metrology, data modeling, workflow automation, and AI-Enabled engineering analysis. Objective of the Project Develop an understanding of the end-to-end Non-Zero-Offset workflow, including wafer selection, inline recipe criteria, metrology requirements, generation logic, and validation.

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 HVM Engineering Process and Equipment Engineering Project Title Superior Copper Sputter Enablement on HBM Metallization Project Description With increasingly advanced technology scaling and higher performance requirements, the metallization process requires continuous innovation to meet stringent electrical, reliability, and manufacturability targets. To support future product roadmaps and capacity expansion, there is a need to enable advanced copper deposition capability as an improved manufacturing platform for metallization. This effort requires comprehensive process development, hardware qualification, integration assessment, and defectivity optimization to achieve process equivalency while maintaining yield, reliability, and cost competitiveness. The project will leverage Artificial Intelligence (AI), Micron manufacturing systems, and advanced data analytics to perform extensive characterization, validation, and predictive insights across process conditions. The intern will work closely with engineering teams to evaluate process performance, identify optimization opportunities, and develop data-driven solutions that improve manufacturing robustness and readiness for h

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. 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

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. The Thin Films Equipment Engineering team at Micron develops and enhances advanced semiconductor manufacturing equipment in a fast-paced research and development environment. The team works closely with Process Engineering, Facilities Engineering, and equipment suppliers to enable next-generation memory technologies and achieve world-class equipment performance. Through innovation, collaboration, and data-driven decision-making, the team plays a critical role in advancing semiconductor technology development. As a Thin Films Equipment Engineering Intern, you will gain hands-on experience working with groundbreaking semiconductor equipment and processes. You will support engineering projects focused on equipment optimization, data analysis, and technology development while collaborating with multi-functional teams. This role provides exposure to semiconductor manufacturing, experimental design, and the application of advanced analytics to solve complex engineering challenges. Responsibilities Collect, analyze, and interpret equipment and process data to find opportunities for performance optimization and continuous improvement. Support structured engineering experiments, document findings, and communicate results through technical reports and presentations. Collaborate with Equipment Engineering, Process Engineering, Facilities Engineering, and equipment suppliers to address technology-development challenges and improve equipment performance. Develop an understanding of equipment hardware,

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, our vision is to transform how the world uses information to enrich life for all. As a global leader in memory and storage innovation, we accelerate the transformation of information into intelligence, enabling advances in learning, communication, and technology. Micron's Boise site is at the center of a historic semiconductor manufacturing expansion, supported by a $15 billion investment. This growth creates exciting opportunities for students to contribute to leading-edge DRAM manufacturing while developing technical expertise in one of the world's most advanced fabrication environments. The ID1 High Volume Manufacturing Process Engineer supports process quality, yield improvement, manufacturing efficiency, and cost reduction within a high-volume semiconductor fabrication environment. This role partners closely with equipment engineers, manufacturing teams, process owners, and operations leaders to find opportunities, resolve process issues, and optimize wafer output. The successful candidate will apply statistical analysis, engineering principles, and data-driven decision making to improve manufacturing performance, support operational excellence, and contribute to key area performance indicators. Responsibilities Monitor, analyze, and improve manufacturing processes to achieve yield, quality, throughput, and cost objectives. Apply SPC, FDC, Design of Experiments, and systematic problem-solving methodologies to identify and resolve process deviations and chronic is

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 intern will gain exposure to semiconductor manufacturing equipment, reliability engineering methodologies, Artificial Intelligence applications, and data-driven engineering practices within a high-volume manufacturing environment. Objective of the Project Develop an AI-Enabled equipment monitoring and risk prediction dashboard capable of identifying potential CMP tool-related wafer breakage and excursion risks before significant manufacturing impact occurs. Oppo

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. Micron’s Boise site is undergoing a historic $15 billion investment in advanced semiconductor manufacturing, with DRAM production planned for the second half of the decade. As part of Micron’s broader $150 billion global expansion, the High Volume Manufacturing (HVM) organization leverages AI-Enabled innovation, advanced analytics, and operational excellence to deliver world-class memory solutions at scale. As an ID1 High Volume Manufacturing Process Engineer Intern, you will support process optimization, yield improvement, and cost reduction within a high-volume fab environment. You will collaborate with equipment engineering, operations, and multi-functional partners while applying data-driven methodologies and Applying AI to improve wafer output, stability, and performance. Responsibilities Analyze manufacturing data and Apply SPC, FDC, and 8D methodologies alongside AI Assisted analytics to improve yield, reduce defects, and enhance tool availability. Investigate process excursions and Using AI, including LLMs and Generative AI tools, to identify trends, perform root-cause analysis, and recommend corrective actions. Collaborate with multi-functional teams to optimize wafer processing using AI-Enabled and data-driven decision-making approaches. Implement process improvement projects focused on increasing wafer outs, Using AI and visualization tools to enhance process capability and efficiency. Maintain and update process documentation, integrating insights gen

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 productivity, automate data interpretation, and accelerate insight generation from process characterization activities. The project provides an opportunity to gain hands-on experience in process engineering, equipment operations, and advanced manufacturing technologies within the semiconductor industry. Objective of the Project Characterize key process variables affecting SSD depanel performance and product quality. Establish a robust op

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 Description At Micron-Boise, ID, we are undergoing a historic $15 billion investment in semiconductor manufacturing; construction began in early 2023, with DRAM production slated for the second half of the decade. As a leader in the semiconductor industry, we build solutions that encourage and transform technology. With plans to invest more than $150 billion globally over the next decade in groundbreaking manufacturing, we are looking for hardworking people to join our Boise expansion team and give to the growth and innovation of the semiconductor industry. ID1 High Volume Manufacturing Equipment Engineer is responsible for monitoring, sustaining, and improving the equipment while working in partnership with process team members and area engineers. In this position you will supervise tool performance, schedule and perform preventative maintenance on assigned tool sets, and use mechanical, electronic and PC/software skills to solve and repair equipment issues. They are also required to assist with equipment installations, engineering tests, build and modify equipment procedures, increase tool uptime through systematic problem solving and quality workmanship, and thoroughly document all maintenance. This is a hands-on equipment focused role with time spent in the fabrication facility. </sp

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-Boise, ID, we are undergoing a historic $15 billion investment in semiconductor manufacturing; construction began in early 2023, with DRAM production slated for the second half of the decade. As a leader in the semiconductor industry, we build solutions that encourage and transform technology. With plans to invest more than $150 billion globally over the next decade in groundbreaking manufacturing, we are looking for hardworking people to join our Boise expansion team and give to the growth and innovation of the semiconductor industry. ID1 High Volume Manufacturing Equipment Engineer is responsible for monitoring, sustaining, and improving the equipment while working in partnership with process team members and area engineers. In this position you will supervise tool performance, schedule and perform preventative maintenance on assigned tool sets, and use mechanical, electronic and PC/software skills to solve and repair equipment issues. They are also required to assist with equipment installations, engineering tests, build and modify equipment procedures, increase tool uptime through systematic problem solving and quality workmanship, and thoroughly document all maintenance. This is a hands-on equipment focused role with time spent in the fabrication facility. Responsibilities: Safely identify, handle, and work with chemicals and associated hazards in the work area. Recognize and respond appropriately to safety alarms and events, including EES, fire alarms, MDA, and ERT notifications. <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. As an Equipment Engineer Intern , you will gain hands-on experience supporting the reliability, performance, and continuous improvement of advanced semiconductor manufacturing equipment. You will work alongside experienced engineers and technicians to investigate technical challenges, analyze equipment performance, and support improvement projects across manufacturing, process engineering, maintenance, and supplier teams. As part of Micron’s AI-enabled ecosystem, you may also use AI-supported data, equipment health insights, and advanced analytics to help identify opportunities to improve equipment performance, reliability, and troubleshooting. Responsibilities Analyze equipment and manufacturing data to identify performance trends, reliability concerns, and continuous improvement opportunities. Support technical troubleshooting, structured problem-solving, root cause analysis, corrective actions, and equipment recovery activities. Participate in equipment upgrades, modifications, qualifications, and improvement projects, including the creation or enhancement of SOPs and troubleshooting documentation. Collaborate with Process, Manufacturing, Facilities, Quality, Maintenance, and supplier teams and communicate technical findings and recommendations to stakeholders. Apply AI Supported data and equipment health insights, where appropriate, to assist with equipment analysis, troubleshooting, and performance improvement while following applicable safety, quality, cleanroom, and manufacturing stan

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 MSB (Micron Singapore Bendemeer) Department Test Solutions Engineering Project Title AI-Enabled Test Process Optimization and Technology Qualification Project Description As an intern within the Test Solutions Engineering team, you will undertake a structured engineering project related to semiconductor backend test processes, equipment capabilities, software, or operating methodologies. You will gain exposure to manufacturing and equipment data analysis, process-performance evaluation, and the qualification of new technologies for High Volume Manufacturing. Objectives Develop an understanding of semiconductor backend test processes and equipment. Evaluate process and equipment data to identify performance gaps. Contribute to the qualification and transfer of new technologies or Best Known Methods. Identify opportunities to improve yield, quality, reliability, cycle time, and cost. Explore responsible applications of Artificial Intelligence in engineering workflows. Opportunities for Full Time Employment Successful completion of the internship may provide exposure to future caree

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. Micron's 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. Department Introduction The Probe Area Manufacturing Engineering (AME) team supports semiconductor manufacturing through data-driven decision making, capacity planning, and continuous improvement initiatives. We collaborate closely with Operations, Industrial Engineering, Process Engineering, and Equipment Engineering to improve factory performance and operational excellence. Our team develops scalable systems, analytics, and business processes that enable manufacturing success. Position Overview The Manufacturing Engineering Intern will support projects focused on manufacturing analytics, process optimization, and operational improvement. This role provides hands-on experience applying Industrial Engineering principles within a fast-paced semiconductor manufacturing environment. The successful candidate will partner with engineers to develop insights, improve reporting solutions, and support data-driven decision making. Responsibilities Analyze manufacturing data and develop insights to improve factory performance. Develop dashboards and reporting solutions that support engineering and