HVM ME Shift Process Engineer

Micron Technology•Boise, ID

10d•Onsite

About The Position

Micron Technology is seeking an ME Shift Process Engineer - Photo in Boise, Idaho. The role monitors, optimizes, and improves manufacturing processes to enhance yield, quality, and efficiency. The engineer collaborates with process team members and area engineers to support smooth operations and maintain quality expectations.

Requirements

Bachelor’s or Master’s degree in Chemical Engineering, Electrical Engineering, Materials Science, Physics, or a related engineering field, or equivalent experience.
More than 2 years of experience as a semiconductor shift process engineer.
Flexibility to work in a cleanroom on 12-hour shifts, rotating 3–4 workdays per week and rotating from day to night shifts every four months.
Established expertise in SPC, DOE, and organized problem-solving techniques.
Experience analyzing complex manufacturing or engineering data and making process-related decisions based on technical findings.
Proficiency with one or more programming, scripting, analytics, or visualization tools such as Python, Java, MATLAB, Tableau, or Microsoft Office applications.

Nice To Haves

Intermediate understanding of fab process areas, processing equipment, and supporting systems.
Experience with data collection systems, data warehousing, data cleansing, and querying, applying analytics to support engineering, manufacturing, or operational improvements.
Working knowledge of semiconductor fabrication processes, processing equipment, and supporting systems.
Experience using AI-assisted tools and technologies to improve efficiency, data analysis, reporting, or operational outcomes, or interest in developing Agentic AI workflows.

Responsibilities

Track and refine manufacturing processes to improve yield, quality, efficiency, and equipment performance while supporting area benchmarks and wafer output goals.
Evaluate process performance using SPC, FDC, DOE, and other engineering techniques; identify trends, manage excursions, and conduct comprehensive problem-solving.
Lead timely issue-resolution activities involving processes, tools, defects, yield, and output.
Develop, update, and maintain operational procedures, assessor checklists, documentation, and training materials to support standardized execution and compliance.
Use AI-enabled analytics tools, data visualization platforms, and engineering software to identify process improvement opportunities and support data-driven decisions.