Intern - YE-Electrical Failure Analysis Engineer

Micron•Boise, ID

About The Position

Micron is seeking a motivated Yield Enhancement Engineer Intern to join its semiconductor manufacturing organization. The intern will work alongside experienced engineers to investigate yield issues, perform electrical failure analysis, analyze wafer and manufacturing test data, and develop data-driven solutions that improve engineering effectiveness. The role offers hands-on experience in semiconductor characterization, automation, advanced analytics, and AI-enabled engineering workflows, contributing to yield improvement and manufacturing excellence. The Yield Enhancement team supports product quality, manufacturing efficiency, and technology performance across Micron’s memory portfolio. It uses electrical failure analysis, wafer testing, data analytics, automation, and engineering methods to identify yield improvement opportunities and optimize semiconductor manufacturing processes. The work supports high-performance memory solutions for next-generation computing, artificial intelligence, and data-driven technologies.

Requirements

Currently pursuing a bachelor’s or master’s degree in Electrical Engineering, Computer Engineering, Materials Science, Computer Science, Data Science, or a related technical field.
Basic understanding of semiconductor devices, semiconductor manufacturing, or related technologies.
Strong analytical, critical-thinking, and problem-solving skills.
Ability to analyze technical data and communicate findings effectively in a collaborative environment.
Demonstrated written and verbal communication skills and ability to work effectively on multifunctional teams.

Nice To Haves

Currently pursuing a master’s degree in Electrical Engineering, Computer Engineering, Materials Science, Computer Science, Data Science, or a related field.
Experience with data analysis, programming, or automation tools such as Python, SQL, JMP, Power BI, Tableau, or similar platforms.
Experience using AI tools such as Microsoft Copilot, ChatGPT, Claude, Gemini, or equivalent technologies for technical problem-solving, coding assistance, data analysis, or workflow automation.
Familiarity with machine learning concepts, data science methodologies, prompt engineering, retrieval-augmented generation (RAG), AI agents, or automation frameworks.
Strong interest in semiconductor technology, failure analysis, digital transformation, and manufacturing optimization.
Experience and/or interest in developing Agentic AI workflows for current or future processes.

Responsibilities

Test semiconductor wafers using probe stations, electrical characterization equipment, and manufacturing test data.
Support electrical failure analysis and yield investigations to identify and resolve product and process issues.
Analyze manufacturing and test data to identify trends, anomalies, yield detractors, and potential root causes.
Develop scripts, dashboards, visualization tools, and automation solutions to improve engineering workflows and productivity.
Apply statistical methods, AI tools, and data analytics to support defect detection, problem solving, and manufacturing optimization.
Use large language models and generative AI technologies to accelerate data analysis, technical documentation, knowledge discovery, and engineering decision-making.
Develop and evaluate AI-assisted workflows, prompt engineering techniques, and automation solutions to improve investigation efficiency and engineering effectiveness.
Collaborate with Design, Process Integration, Manufacturing, Test, and Product Engineering teams.
Present technical findings through reports and presentations.