Engineer, RDA DRAM

Micron Technology•Boise, ID

About The Position

As a Realtime Defect Analysis (RDA) Technology Development Engineer at Micron, you will learn to use defect detection equipment and processes to identify and resolve issues. The role aims to accelerate learning cycles and technology transfer within Technology Development. You will apply defect-detection equipment and data analysis to identify and solve process issues, collaborating with engineers in process integration, process development, data science, and yield analysis within and outside Technology Development. The role supports experimentation, data analysis, baseline health metrics, and systematic and random defect improvement in partnership with Research and Development and High Volume Manufacturing. You will also use AI to increase process-area efficiency and productivity.

Requirements

Knowledge of semiconductor fabrication techniques.
Experience with inspection data analysis, such as EBEAM, X-ray, Laser, or Optical Systems.
Ability to apply and use basic data science and data manipulation, including scripting, coding, or programming.
Ability to investigate process anomalies, conduct root cause analysis, manipulate data, and identify correlations.
Creative problem-solving skills and ability to present innovative solutions clearly.
Proactive and passionate about learning through training and coursework.
Demonstrated ability to innovate and drive effective change in an energizing environment.
Bachelor’s degree in Electrical Engineering, Chemical Engineering, Materials Science & Engineering, or a related field.

Nice To Haves

Master’s degree in Electrical Engineering, Chemical Engineering, Materials Science & Engineering, or a related field.
Ability to participate in technical meetings and synthesize new opportunities or novel approaches.
Ability to collaborate with a global network to develop best-known methods and maintain alignment between sites.
Demonstrated flexibility and tenacity in pursuing goals.
Excellent technical, communication, and analytical skills.

Responsibilities

Review and analyze experimental process flows for defect anomalies and quarantine process tools that are out of control.
Look for opportunities to improve operations and make a difference through continuous improvement.
Recognize, identify, and raise awareness of process anomalies promptly.
Use inline process signals to drive process improvements.
Work with new inspection tools and strategies to detect problems earlier and identify their sources.
Build and improve techniques and identify new ways to use existing tools to identify relevant process issues.
Support experimentation, data analysis, baseline health metrics, and systematic and random defect improvement.
Use AI to improve process-area efficiency and productivity.
Collaborate with engineers in process integration, process development, data science, and yield analysis, as well as partners in Research and Development and High Volume Manufacturing.