RDA DRAM Engineer — Defect Analytics & AI

Micron Technology, Inc.; Boise (ID); On-site; USD 90,000 - 120,000; Full time

Job summary

Micron Technology, Inc. in Boise, Idaho is seeking an Engineer for Realtime Defect Analysis (RDA) to learn defect detection equipment, perform data analysis, and collaborate with process integration, data science, and yield teams to accelerate learning and technology transfer.

You will support experimentation, analyze baseline metrics, identify defect sources, and apply AI to improve efficiency, while advancing in a world-leading semiconductor environment.

Qualifications

• Knowledge of semiconductor fabrication techniques.
• Experience with inspection data analysis (EBEAM, X-ray, Laser or Optical Systems).
• Ability to apply and use basic Data Science and Data Manipulation (scripting, coding, or programming).

Responsibilities

• Reviewing and analyzing experimental process flows looking for defect anomalies and quarantining process tools that are out of control.
• Recognize, identify, and raise awareness of process anomalies with the motivation of "who needs to know this now!"
• Work with inline process signals to drive process improvements
• Support experimentation, data analysis, baseline health metrics, and systematic and random defect improvement through partnering with others in Research and Development and High Volume Manufacturing

Skills

Semiconductor fabrication techniques

Data analysis

Scripting / programming

Problem solving

Communication skills

Education

Bachelor's Degree in Electrical Engineering, Chemical Engineering, Materials Science & Engineering, or related field

Master's Degree in Electrical Engineering, Chemical Engineering, Materials Science & Engineering, or related field

Tools

EBEAM

X-ray

Laser inspection

Optical systems

Job description

Micron Technology, Inc. in Boise, Idaho is seeking an Engineer for Realtime Defect Analysis (RDA) to learn defect detection equipment, perform data analysis, and collaborate with process integration, data science, and yield teams to accelerate learning and technology transfer.

You will support experimentation, analyze baseline metrics, identify defect sources, and apply AI to improve efficiency, while advancing in a world-leading semiconductor environment.