Manufacturing Engineer Intern — AI, Analytics & Optimization

Micron; Boise (ID); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive benefits

Paid time off

Holidays

Job summary

Micron Technology in Boise is expanding its manufacturing team as part of a multibillion-dollar investment in semiconductor production. The ID1 High Volume Manufacturing Engineer will optimize area performance, reduce cycle time, and collaborate with PD, ATE, PEE, ME and IE teams to move products efficiently and address process issues.

Responsibilities include data analytics, AI-enabled workflows, and developing BKMs to drive area KPIs.

Qualifications

• BS Engineering degree or equivalent semiconductor industry experience; must be a current student and not graduate before September 2026
• Strong understanding of Fab process areas and SPC principles
• Experience with AI-enabled data analytics and data querying databases
• Experience or knowledge in scripting/programming and visualization tools

Responsibilities

• Completes safety training and follows safety policies
• Analyzes workstation performance and partners with stakeholders to resolve issues
• Supports data analysis, identifies trends and solutions
• Analyzes and optimizes area queue times to reduce cycle time
• Implements redundancy options for constraint workstations
• Integrates AI into workflows
• Leads area continuous improvement projects
• Participates in UAT of new systems and provides feedback

Skills

Data analytics

AI-enabled analytics

Scripting & programming

SPC principles

Quality control systems

Communication

Team collaboration

Education

BS Engineering degree or equivalent semiconductor industry experience

Tools

Python

Java

Tableau

Matlab

Microsoft Suite

Job description

Micron Technology in Boise is expanding its manufacturing team as part of a multibillion-dollar investment in semiconductor production. The ID1 High Volume Manufacturing Engineer will optimize area performance, reduce cycle time, and collaborate with PD, ATE, PEE, ME and IE teams to move products efficiently and address process issues.

Responsibilities include data analytics, AI-enabled workflows, and developing BKMs to drive area KPIs.