Photo ME Shift Process Engineer — Elevate Yield & Efficiency

Micron Technology, Inc.

Boise (ID)

On-site

USD 90,000 - 130,000

Full time

6 days ago
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Job summary

Micron Technology, Inc. in Boise, ID is seeking an ME Shift Process Engineer - Photo to monitor and optimize manufacturing processes, focusing on yield, quality, and efficiency.

You will work with process engineers to ensure smooth operations and adherence to quality standards. Requirements include a bachelor’s or master’s degree in a related field, 2+ years in semiconductor shift processes, and experience with SPC, DOE, and data analytics tools.

Qualifications

  • Bachelor’s or Master’s degree in Chemical Engineering, Electrical Engineering, Materials Science, Physics, or related field or equivalent experience.
  • More than 2 years’ experience as a semiconductor shift process engineer.
  • Experience in cleanroom environments and 12-hour rotating shifts; day to night rotation every four months.
  • Proficiency with SPC, DOE, and data-driven decision making using analytics tools.

Responsibilities

  • Monitor, optimize, and improve manufacturing processes to boost yield, quality, and efficiency.
  • Evaluate process performance using SPC, FDC, DOE, and other engineering methods.
  • Lead issue resolution by identifying and addressing process and tool-related concerns.
  • Develop and maintain procedures, checklists, and training materials for standardized execution.

Skills

SPC
DOE
Problem solving
Data analysis
Java
MS Office
Python

Education

Bachelor’s or Master’s in an engineering field

Tools

Python
MATLAB
Tableau

Job description

Micron Technology, Inc. in Boise, ID is seeking an ME Shift Process Engineer - Photo to monitor and optimize manufacturing processes, focusing on yield, quality, and efficiency.

You will work with process engineers to ensure smooth operations and adherence to quality standards. Requirements include a bachelor’s or master’s degree in a related field, 2+ years in semiconductor shift processes, and experience with SPC, DOE, and data analytics tools.

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