Yield Enhancement Senior Failure Analysis Shift Technician

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 Intern Product Yield Enhancement (PYE) Engineer at Micron Technology Inc., you will assist in taking next generation DRAM devices from design to mass production! PYE Engineers are crucial partners between Research and Development, Manufacturing, Product Engineering and Global Quality teams. Our goal is to offer hands-on and substantial engineering projects that allow interns to gain valuable experience with memory systems and the product life cycle while adding impact to Micron’s business. Our intern programs help prepare engineers for future roles and offer an extraordinary experience that supplements your academic experience! The PYE Engineering role is critical to Micron as it serves the company's charter to be the most cost-effective producer of DRAM memory while delivering the quality and reliability that customers expect from the Micron brand. This position is for a 3-month internship. Responsibilities: Your job duties will include detailed DRAM electrical and physical failure analysis. Identify defects introduced by the semiconductor fabrication process. You will data mine using statistical analysis, AI assisted engineering tools, and automation workflows. Find the root cause of failure mechanisms, communicating results with Management, Product, Process and Test Engineering teams. Complete 3-month internship. Minimum Qualifications: Must be pursuing a minimum of a bachelor’s degree in Electrical Engineering, Computer Engineering,

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 vision is to transform how the world uses information to enrich life for all . Micron's Equipment Engineering organization is at the forefront of enabling advanced semiconductor manufacturing at scale within the newest U.S. memory fabrication facility. The CMP team collaborates closely with Manufacturing, Technology Development, Procurement, Facilities, and global engineering partners to drive equipment performance, innovation, and operational excellence. This team plays a meaningful role in delivering world-class yield, throughput, and cost performance. As the CMP Equipment Manager , you will lead and develop a high-performing team responsible for CMP equipment engineering . This role is accountable for setting the strategic vision, optimizing manufacturing performance, and aligning execution to Micron's global business objectives. You will partner internally and externally to enable best-in-class equipment capability while fostering a culture of collaboration, innovation, and continuous improvement. Responsibilities Lead and develop an elite CMP equipment engineering team, establishing clear performance targets aligned to fab output, yield, and cost objectives. Drive manufacturing optimization through equipment performance improvement, yield enhancement, throughput maximization, and cost reduction using data-driven methodologies. Partner cross-functionally (Manufacturing, TD, ATE, Procurement, Facilities) and globally to depl

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 is expanding its semiconductor manufacturing operations in Boise through a historic $15 billion investment that will support next-generation DRAM production and advanced manufacturing capabilities. This growth creates exciting opportunities for students to contribute to the future of semiconductor technology while working in a highly collaborative, data-driven manufacturing environment. The High Volume Manufacturing Process Engineer Intern supports process optimization, yield improvement, throughput enhancement, cost reduction, and issue resolution within a manufacturing area. This role partners closely with equipment engineering, operations teams, process owners, and cross-functional stakeholders to improve process performance and achieve key manufacturing objectives. Responsibilities Drive process optimization and manufacturing efficiency initiatives by monitoring process performance, analyzing data, and supporting area throughput and wafer output goals. Identify, troubleshoot, and resolve process issues that could result in yield loss, defects, equipment restrictions, excursions, or production impacts, escalating concerns when necessary. Apply SPC, FDC, Design of Experiments (DOE), and structured problem-solving methodologies, including 8D, to improve process capability and equipment performance. Partner with process owners, operations teams, and engineering stakeholders to address chronic process issues and support continuous improvement initiatives. Leverage Artificial Intelligence and data a

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 Realtime Defect Analysis (RDA) Yield Technology team supports advanced DRAM research and development by identifying, analyzing, and reducing manufacturing defects that impact yield and product performance. The team partners closely with engineers across R&D and High Volume Manufacturing to improve process stability, accelerate learning cycles, and drive continuous improvement through data-driven decision making. As an RDA Yield Technology Intern, you will gain hands-on experience with innovative semiconductor processing, defect inspection systems, and advanced analytical techniques. You will contribute to projects focused on experimentation, defect detection, data analysis, and process optimization while collaborating with multi-functional engineering teams. This role is ideal for individuals who are passionate about problem solving, root-cause investigation, and leverausingology to improve manufacturing performance. Responsibilities Analyze experimental process flows and defect inspection data to identify anomalies, investigate root causes, and support corrective actions. Partner with R&D and manufacturing teams to improve yield performance through defect detection, process monitoring, and continuous improvement initiatives. Leverage Artificial Intelligence (AI) and data analytics tools to accelerate defect detection, identify yield-impacting trends, automate routine analysis workflows, and generate actionable insights. Use inline defect signals, statistical analys

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 DRAM Product Architecture Group partners across fabs, test, module, and system teams worldwide to deliver high-performance memory products. We work across geographies and functions to solve complex technical challenges, drive product innovation, and enable industry-leading DRAM solutions. Our team values collaboration, continuous learning, and making a measurable impact through engineering excellence. As a New College Graduate DRAM Yield & Quality Engineer, you will play a key role in monitoring and improving the health of Micron’s server DRAM products. Working with experienced engineers and cross-functional teams around the globe, you will analyze product and manufacturing data, investigate technical issues, and contribute to strategies that improve yield, quality, and performance throughout the product lifecycle. This is a highly visible role with direct impact on customer success and product reliability. Responsibilities Analyze silicon parametric, test, and manufacturing data to identify trends, resolve product issues, and support root cause investigations. Contribute to yield and quality improvement initiatives across new product introduction (NPI), qualification, ramp, and high-volume manufacturing. Collaborate with fab, test, module, quality, and operations teams to drive execution of product health objectives. Develop and maintain automation solutions to improve engineering efficiency, data analysis, and reporting. Apply AI, Agentic AI, and Generative AI tools to en

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 semiconductor manufacturing, with DRAM production planned for the second half of the decade. As part of Micron’s global $150 billion expansion, our High Volume Manufacturing team drives innovation and operational excellence to deliver world-class memory solutions. As an ID1 High Volume Manufacturing Process Engineer Intern , you will work on process optimization, yield improvement, and cost reduction initiatives. This role involves collaborating with equipment teams, operations leaders, and multi-functional collaborators to ensure area critical metrics are met and wafer output is optimized. Responsibilities Finish the required safety training and adhere to safety policies and laws. Ensure proper tool documentation and update reaction mechanisms as needed. Supervise and resolve issues impacting yield, excursions, defects, or output loss. Apply SPC, FDC, and 8D methodologies to optimize processes and improve tool availability. Analyze data using engineering knowledge and visualization tools to make critical process decisions. Perform project work to optimize wafer processing and increase wafer outs. Update or create procedures to align with area and global practices. Minimum Qualifications Current student in an engineering or related degree program; graduation date not before September 2027. Understanding of SPC and Design of Experiments. Prof