HVM ME Shift Process Engineer

Micron•Boise, ID

8d•Onsite

About The Position

Micron Technology is hiring an ME Shift Process Engineer - Photo in Boise, Idaho, to monitor, optimize, and improve manufacturing processes for yield, quality, and efficiency. The engineer will collaborate with process team members and area engineers to support smooth manufacturing operations and maintain quality expectations. The position involves working in a cleanroom on rotating 12-hour shifts, with a rotation between days and nights every four months.

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 switching between day and night shifts every four months.
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, including processing equipment and supporting systems.
Experience with data collection systems, data warehousing, data cleansing, and querying, applying data 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 for current or future processes.

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 Statistical Process Control (SPC), Fault Detection and Classification (FDC), Design of Experiments (DOE), and other engineering techniques.
Identify trends, manage excursions, and conduct comprehensive problem-solving.
Lead timely issue resolution by identifying, escalating, and addressing concerns related to 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.