Yield Enhancement Intern - Electrical Failure

Micron Technology Inc; Boise (ID); On-site; USD 30,000 - 41,000; Part time

Benefits offered by this job

Medical, dental, and vision plans

Paid time off and holidays

Paid family leave

Job summary

Micron Technology seeks a Yield Enhancement Engineer Intern to investigate yield issues, perform electrical failure analysis, and analyze wafer/test data. You will help develop data-driven solutions to improve engineering effectiveness and manufacturing excellence in a semiconductor context.

You will gain hands-on experience with characterization, automation, analytics, and AI-enabled workflows while contributing to project outcomes and team collaboration.

Qualifications

• Pursuing Bachelor’s or Master’s in EE, CE, Materials Science, CS, or Data Science.
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Responsibilities

• Gain hands-on experience testing semiconductor wafers via probe stations and data systems.
• Support electrical failure analysis and yield investigations to resolve issues.
• Analyze manufacturing and test data to identify trends and root causes.
• Develop scripts, dashboards, and automation to improve workflows.
• Apply statistics, AI tools, and data analytics for defect detection and optimization.
• Use LLMs and AI to accelerate data analysis and engineering documentation.
• Develop AI-assisted workflows and prompt engineering for efficiency.
• Collaborate with Design, Process Integration, Manufacturing, Test and Product Engineering; present findings.

Skills

Analytical thinking

Problem-solving

Communication

Cross-functional collaboration

Education

Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Materials Science, Computer Science, Data Science, or related field

Tools

Python

SQL

JMP

Power BI

Tableau

AI tools (Copilot, ChatGPT)

Job description

Micron Technology seeks a Yield Enhancement Engineer Intern to investigate yield issues, perform electrical failure analysis, and analyze wafer/test data. You will help develop data-driven solutions to improve engineering effectiveness and manufacturing excellence in a semiconductor context.

You will gain hands-on experience with characterization, automation, analytics, and AI-enabled workflows while contributing to project outcomes and team collaboration.