RDA DRAM Engineer: Defect Analytics & Process Innovation

Micron Technology, Inc.; Boise (ID); On-site; USD 110,000 - 160,000; Full time

Job summary

Micron Technology, Inc. in Idaho is seeking a Realtime Defect Analysis (RDA) Technology Development Engineer. You will learn defect detection equipment, apply data analysis to identify process issues, and collaborate with process integration, data science, and yield analysis teams.

This role uses AI to increase efficiency and supports experimentation, baseline health metrics, root-cause analysis, and continuous improvement. Global teams drive learning and technology transfer.

Qualifications

• Knowledge of semiconductor fabrication techniques and inspection data analysis tools.
• Ability to apply basic data science and data manipulation (scripting/coding).
• Creative problem solver capable of root-cause analysis and data-driven decisions.
• Eagerness to learn and drive change in a fast-paced environment.
• Bachelor's degree in Electrical/Chemical Engineering or Materials Science & Engineering.

Responsibilities

• Review experimental process flows for defect anomalies and quarantine out-of-control tools.
• Apply CIP mindset to improve operations and make a difference today.
• Identify process anomalies and escalate to the right stakeholders quickly.
• Use inline signals to drive process improvements and detection of issues.
• Collaborate with teams to develop new inspection tools and strategies.

Skills

Semiconductor fabrication

Inspection data analysis

Data science basics

Problem solving

Communication

Education

Bachelors in Electrical Engineering

Bachelor's in Chemical Engineering

Materials Science & Engineering

Master's degree preferred

Job description

Micron Technology, Inc. in Idaho is seeking a Realtime Defect Analysis (RDA) Technology Development Engineer. You will learn defect detection equipment, apply data analysis to identify process issues, and collaborate with process integration, data science, and yield analysis teams.

This role uses AI to increase efficiency and supports experimentation, baseline health metrics, root-cause analysis, and continuous improvement. Global teams drive learning and technology transfer.