Shift Process Engineer - Semiconductors & AI Analytics

Micron Technology, Inc.; Boise (ID); On-site; USD 90,000 - 130,000; Full time

Job summary

Micron Technology, Inc. is hiring a High Volume Manufacturing Shift Process Engineer to optimize semiconductor fabrication processes in Boise.

The role focuses on improving yield, quality, throughput, and equipment effectiveness while collaborating with equipment engineers, shift teams, and cross-functional stakeholders to resolve issues and drive continuous improvement. The position requires working across multiple shifts, applying SPC/DOE techniques, and leveraging data analytics with tools

Qualifications

• Bachelor’s or Master’s degree in Chemical Engineering, Electrical Engineering, Materials Science, Physics, or related engineering field.
• Shift work flexibility required.
• Knowledge of SPC and DOE and structured problem solving.
• Proficiency with Python, MATLAB, Tableau, or similar tools.
• Experience analyzing complex manufacturing data to drive decisions.

Responsibilities

• Monitor and optimize manufacturing processes to improve yield, quality, throughput, and equipment effectiveness.
• Analyze process performance using SPC, DOE, and other engineering methods to identify trends and resolve excursions.
• Lead issue resolution for process, tool, defect, yield, and output-related concerns.
• Develop and maintain operational procedures, checklists, and training materials for standardized execution.
• Use AI-enabled analytics tools to identify improvement opportunities and support data-driven decisions.

Skills

SPC & DOE

Python/MATLAB/Tableau

Data analysis in manufacturing

Shift flexibility

Programming & analytics tools

Education

Engineering degree (Bachelors/Masters)

Tools

Microsoft Office

Job description

Micron Technology, Inc. is hiring a High Volume Manufacturing Shift Process Engineer to optimize semiconductor fabrication processes in Boise.

The role focuses on improving yield, quality, throughput, and equipment effectiveness while collaborating with equipment engineers, shift teams, and cross-functional stakeholders to resolve issues and drive continuous improvement. The position requires working across multiple shifts, applying SPC/DOE techniques, and leveraging data analytics with tools