AI-Driven Shift Equipment Engineer

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

Job summary

Micron Technology, Inc. in Boise invites applications for a High Volume Manufacturing Shift Equipment Engineer. You will monitor, sustain and improve equipment, lead preventative maintenance, and collaborate with process teams in a hands-on fab setting.

Responsibilities include safety, tool uptime, data-driven improvements, AI-enabled monitoring, and documentation of procedures. Requires a related engineering degree and shift flexibility; US work authorization is required.

Qualifications

• Bachelor’s degree in electrical or mechanical engineering; other related fields may be considered.
• Flexibility to work any shift and rotate shifts as needed.
• Knowledge of AC/DC circuits and electronics fundamentals.
• Ability to work in a cleanroom environment and handle equipment safely.
• Strong mechanical aptitude and problem-solving skills.
• Proficiency with Python, Tableau, Matlab, and MS Office.

Responsibilities

• Monitor, sustain, and improve equipment performance in partnership with process teams.
• Schedule and perform preventative maintenance on assigned tool sets.
• Assist with equipment installations and engineering tests as required.
• Develop and modify equipment procedures to increase tool uptime.
• Use data analytics to identify trends and improve process controls.
• Leverage AI-enabled tools to monitor equipment and support predictive maintenance initiatives.

Skills

AC/DC circuits

Electrical fundamentals

Vacuum systems

Gas flow fundamentals

Schematic diagrams

Cleanroom work

Mechanical aptitude

Python

Tableau

MATLAB

MS Office

Education

Bachelor’s degree in Electrical or Mechanical Engineering

Tools

Python

Tableau

MATLAB

MS Office

Job description

Micron Technology, Inc. in Boise invites applications for a High Volume Manufacturing Shift Equipment Engineer. You will monitor, sustain and improve equipment, lead preventative maintenance, and collaborate with process teams in a hands-on fab setting.

Responsibilities include safety, tool uptime, data-driven improvements, AI-enabled monitoring, and documentation of procedures. Requires a related engineering degree and shift flexibility; US work authorization is required.