AI-Driven Process Technician – Semiconductor Manufacturing

Micron Technology, Inc; Boise (ID); On-site; USD 65,000 - 90,000; Full time

Job summary

Micron Technology, Inc is seeking motivated Process Technicians to support wafer manufacturing by monitoring operations, reviewing data, and collaborating with engineering teams to improve yield, quality, and efficiency.

Ideal candidates will have a strong analytical mindset, attention to detail, and the ability to work with data dashboards and computer-based systems. Flexibility with shift schedules and willingness to learn are essential.

Qualifications

• High school diploma or equivalent is required.
• Associates degree or technical certification in a related field is preferred.
• Experience with data-driven manufacturing, cleanroom, or high-reliability environments is a plus.

Responsibilities

• Manage semiconductor equipment and monitor wafer fabrication processes.
• Collaborate with engineering to optimize workstations and troubleshoot issues.
• Monitor process indicators and respond to abnormal conditions using standard procedures.
• Communicate findings clearly and manage time with minimal supervision.
• Collect and document production data to support yield, quality, and traceability.
• Conduct technical experiments and prepare data visualizations to identify trends.
• Participate in safety training and adhere to PPE and cleanroom requirements.
• Support shift handoffs and cross-functional communications to ensure production continuity.
• Incorporate AI into daily routines where applicable.

Skills

Analytical thinking

Attention to detail

Data interpretation

Communication

Time management

Education

High school diploma

Associate degree or technical certification (preferred)

Tools

Microsoft Office

Job description

Micron Technology, Inc is seeking motivated Process Technicians to support wafer manufacturing by monitoring operations, reviewing data, and collaborating with engineering teams to improve yield, quality, and efficiency.

Ideal candidates will have a strong analytical mindset, attention to detail, and the ability to work with data dashboards and computer-based systems. Flexibility with shift schedules and willingness to learn are essential.