Yield Analysis 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. Department Intro The Yield Enhancement organization partners closely with Fab and Yield Engineering teams to monitor manufacturing performance, investigate defect issues, and drive yield improvement through detailed electrical and failure analysis. Position Overview The Yield Enhancement Electrical Failure Analysis Engineer performs investigative electrical failure analysis to identify, categorize, and resolve defect issues impacting yield. This role combines hands-on electrical characterization, advanced data analytics, automation, and AI-enabled engineering workflows to accelerate defect detection, root cause identification, and yield improvement. The engineer monitors manufacturing performance, prioritizes yield-related investigations, and delivers data-driven insights and clear reporting to support business decisions and continuous improvement. Responsibilities Perform electrical and failure analysis in alignment with defined area skill guidelines and summarize findings using clear, data-driven reporting and AI-assisted documentation tools. Operate and support lab equipment while adhering to safety guidelines and supporting department and company objectives. Drive root cause investigations by correlating electrical test data, FA results, process information, manufacturing history, and AI-generated insights to identify yield detractors and recommend corrective actions. Develop and maintain yield monitoring meth

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. Our Yield Analysis team plays a critical role in enabling Micron’s next generation memory products and supporting the historic expansion of our Boise manufacturing site. We combine deep semiconductor expertise, advanced analytics, and cross-functional collaboration to accelerate yield learning, improve product quality, and drive manufacturing excellence. Join a team that is shaping the future of semiconductor innovation through data-driven problem solving and continuous improvement. As a Deviation & Yield Tail Yield Analysis Engineer, you will lead efforts to identify, characterize, and resolve yield loss mechanisms that impact manufacturing performance. This role offers the opportunity to leverage advanced analytics, AI-enabled tools, failure analysis, and model-based problem solving to uncover root causes, drive corrective actions, and deliver sustainable yield improvement across high-volume manufacturing operations. Responsibilities: Monitor probe yield performance to identify yield deviations, yield-tail losses, emerging failure signatures, and excursion events using lot, wafer, die, bitmap, and parametric analysis Lead MBPS and root cause investigations using hypothesis-driven problem solving, statistical analysis, fault trees, and process correlation techniques to achieve verified physical root cause Drive defect characterization and failure analysis activities by correlating electrical signatures, inspection data, EFA/PFA findings, and yield-loss mechanisms

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 Data Analysis Engineering Intern at Micron, you will learn about the exciting field of semiconductor failure analysis, using state of the art solutions to improve next generation memory solutions. The goal of this internship is to accelerate the cell cycles of learning by developing inline prediction to end of line cell performance using machine learning. We need engineers who are passionate about detecting problems and making changes for the better, and seek out innovative ways in how predict what will happen. We will assign you project to develop critical thinking and problem-solving skills. Your research tasks are designed to optimize and improve predictability of cell performance. Through this project we will provide the opportunity for you to collaborate with others from process integration, process engineering and data science. At the end of the period, we want you to have a deep understanding of the processes, device operation, and measurement strategies used in today’s semiconductor yield analysis department. Responsibilities: Review and analyze experimental data looking for device performance shift Possess a continuous improvement process (CIP) mentality, looking for ways to improve measurement accuracy and make a difference today! Recognize, identify, and raise awareness of process anomalies with the motivation of "who needs to know this now!" Use the data collected inline to drive process improvements Work with new detection tools and inspection strategies to loca

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 research and development has an opening for Yield Analysis (DA) engineer to develop our next generation memory solution and to support production transfer for the next generation Micron products. As a DA engineer you will be responsible to characterize electrical data to identify and source out extrinsic and intrinsic device issues that are impacting yield. You will work closely with cross functional team from R&D and manufacturing to accelerate product to market timeline by applying device physics knowledge to develop end of line device performance prediction using machine learning. We need engineers who are passionate about detecting problems, making changes for the better, and seek out innovative ways in how predict end of line device performance. Your responsibilities will include, but are not limited to the following: Analyze end of line test, parametric and fab data to identify design, process, and test issues that are impacting yield Develop new tools for yield analysis and implement machine learning technique to improve analysis efficiency and accuracy, leveraging artificial intelligence (AI) to improve proficiency. Identify new creative and innovative ways to use existing tools to identify relevant process issues or device failures Identify interactions between process modules and/or equipment to detect fail mechanisms Use the data collected inline to drive process improvements Improve yield by standardizing methods and

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 Boise Expansion Team is at the forefront of Micron’s historic growth as we invest in leading-edge semiconductor manufacturing and build the future of memory and storage technology. Our Yield Analysis organization plays a critical role in delivering world-class product quality, accelerating yield ramps, and driving operational excellence. We are looking for collaborative, innovative leaders who are excited to help shape the future of semiconductor manufacturing in Boise. As a Yield Analysis Manager, you will lead a team focused on improving fab yield performance through advanced analytics, structured problem solving, and cross-functional collaboration. You will drive yield improvement strategies, develop engineering talent, and leverage data, automation, and AI-enabled solutions to accelerate issue resolution and strengthen manufacturing performance across the organization. Responsibilities: Lead the Yield Analysis team to achieve fab yield and quality goals through yield deviation management, yield-tail reduction, yield ramp acceleration, and long-term yield improvement Establish and manage yield KPIs, forecasting methods, dashboards, and operating mechanisms that drive accountability and measurable business results Drive technical excellence in Model-Based Problem Solving (MBPS), root cause analysis, statistical validation, and corrective action implementation Partner with Process Integration, Process Engineering, Failure Analysis, Quality, and Manufacturing teams

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. Join an inclusive team passionate about one thing: using their expertise in the steadfast 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 Yield Technology Equipment Engineer Intern at Micron, you will learn about the optical, x-ray, profile, and eBeam equipment used in innovative solutions to detect sources of variation in next generation memory solutions. The goal of this internship is to become familiar with in line and lab inspection equipment to help develop new solutions for efficiency and tool performance. We need engineers who are passionate about detecting problems and making changes for the better and seek out innovative ways in how to do things. We will assign you a project to develop critical thinking and problem-solving skills. Your research tasks are designed to optimize and improve predictability of Metrology and RDA's operations. Through this project we will provide the opportunity for you to collaborate with engineers across process control, data science, yield analysis, and metrology. At the end of the period, we want the cohort to have a deep understanding of the processes, detection capabilities, and measurement strategies used in today’s semiconductor defect analysis department. We will enable this with groundbreaking strategies and next ge