Intern: Process Engineer – Data-Driven Yield & Efficiency

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

Job summary

Micron Technology's Boise site offers students a path into cutting-edge DRAM manufacturing. The ID1 High Volume Manufacturing Process Engineer role focuses on applying statistical methods and data-driven decision making to improve yield, quality, and efficiency in a high-volume fab.

As part of cross-functional teams, you will monitor processes, use SPC/DOE, analyze data with Python/MATLAB/Tableau, and contribute to cost reduction while preparing for graduation after 2027.

Qualifications

• Pursuing a Bachelor's or Master's degree in an engineering field with graduation after September 2027.
• Demonstrated knowledge of SPC and DOE.
• Proficiency in Python, Java, MATLAB, Tableau, or MS Office.
• Ability to analyze technical data and make sound engineering decisions in a manufacturing environment.

Responsibilities

• Monitor, analyze, and improve manufacturing processes to achieve yield, quality, throughput, and cost objectives.
• Apply SPC, FDC, Design of Experiments, and systematic problem-solving methodologies to identify and resolve process deviations and chronic issues.
• Collaborate with operations, equipment, and engineering teams to address yield loss risks, tool restrictions, defects, and output interruptions.
• Perform data analysis using engineering and visualization tools to support process optimization and increase wafer output.
• Utilize approved AI analytics tools to enhance process monitoring, data analysis, and continuous improvement initiatives.

Skills

Analytical thinking

Statistical analysis

Cross-functional collaboration

SPC knowledge

Data-driven decision making

Education

Bachelor's or Master's degree in Chemical Engineering, Electrical Engineering, Materials Science, Physics, or related engineering field (graduation after Sep 2027)

Tools

Python

Java

MATLAB

Tableau

Microsoft Office

Job description

Micron Technology's Boise site offers students a path into cutting-edge DRAM manufacturing. The ID1 High Volume Manufacturing Process Engineer role focuses on applying statistical methods and data-driven decision making to improve yield, quality, and efficiency in a high-volume fab.

As part of cross-functional teams, you will monitor processes, use SPC/DOE, analyze data with Python/MATLAB/Tableau, and contribute to cost reduction while preparing for graduation after 2027.