Intern - Yield Technology: AI-Driven Defect Analysis

Micron Technology; Boise (ID); Sur place; USD 30 000 - 39 000; Plein temps

Résumé du poste

Micron Technology is seeking a highly motivated RDA Yield Technology Intern to gain hands-on experience in semiconductor processing, defect inspection, and data‑driven analysis. You will contribute to experiments, defect detection, and process optimization while collaborating with multi‑functional teams.

The internship emphasizes problem solving, root‑cause investigation, and using analytics tools to improve manufacturing performance and yield.

Qualifications

• Demonstrated problem-solving and analytical skills through coursework, research, projects, or internships.
• Fundamental understanding of statistics and experimental analysis methods, including DOE concepts.
• Effective verbal and written English communication skills with the ability to present technical information clearly.
• Ability to work independently and collaboratively in a fast-paced engineering environment.

Responsabilités

• Analyze experimental process flows and defect inspection data to identify anomalies and root causes.
• Partner with R&D and manufacturing teams to improve yield through defect detection and process monitoring.
• Leverage AI and data analytics tools to accelerate defect detection and generate actionable insights.
• Apply inline defect signals, DOE methodologies, and statistical analysis to drive process improvements.
• Present technical findings and recommendations in team meetings and reviews.

Connaissances

Problem-solving

Analytical skills

Statistics & DOE concepts

English communication

Independent & collaborative work

Formation

Bachelor’s or Master’s degree in Electrical Engineering, Chemical Engineering, Materials Science & Engineering, or related technical field

Outils

Python

SQL

JMP

Description du poste

Micron Technology is seeking a highly motivated RDA Yield Technology Intern to gain hands-on experience in semiconductor processing, defect inspection, and data‑driven analysis. You will contribute to experiments, defect detection, and process optimization while collaborating with multi‑functional teams.

The internship emphasizes problem solving, root‑cause investigation, and using analytics tools to improve manufacturing performance and yield.