Intern - YE-Electrical Failure 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.

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 Yield Enhancement team plays a critical role in improving product quality, manufacturing efficiency, and technology performance across Micron's advanced memory portfolio. By using electrical failure analysis, wafer testing, data analytics, automation, and innovative engineering methodologies, the team identifies yield improvement opportunities and drives continuous optimization of semiconductor manufacturing processes. Our work directly supports the development of high-performance memory solutions that enable next-generation computing, artificial intelligence, and data-driven technologies.

Micron is seeking a highly motivated Yield Enhancement Engineer Intern to join our semiconductor manufacturing organization. In this role, you 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. You will gain hands‑on experience in semiconductor characterization, automation, advanced analytics, and AI‑enabled engineering workflows while contributing to projects that support yield improvement and manufacturing excellence.

• Gain hands‑on experience testing semiconductor wafers using probe stations, electrical characterization equipment, and manufacturing test data.
• Support electrical failure analysis activities 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 that improve engineering workflows and productivity.
• Apply statistical methods, AI tools, and data analytics techniques to support defect detection, problem solving, and manufacturing optimization.
• Use large language models (LLMs) 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 while presenting technical findings through reports and presentations.

• 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 with the ability to work effectively on multi‑functional teams.

• Currently pursuing a Master's degree in Electrical Engineering, Computer Engineering, Materials Science, Computer Science, Data Science, or a…