Intern - ID1 Equipment Engineer

Micron • Boise, ID

9h • Onsite

About The Position

Micron Technology is a world leader in innovating memory and storage solutions. At Micron-Boise, ID, we are undergoing a historic $15 billion investment in semiconductor manufacturing. As a leader in the semiconductor industry, we build solutions that encourage and transform technology. With plans to invest more than $150 billion globally over the next decade in groundbreaking manufacturing, we are looking for hardworking people to join our Boise expansion team and give to the growth and innovation of the semiconductor industry. The ID1 High Volume Manufacturing Equipment Engineer is responsible for monitoring, sustaining, and improving equipment while working in partnership with process team members and area engineers. This role involves supervising tool performance, scheduling and performing preventative maintenance, and utilizing mechanical, electronic, and PC/software skills to solve and repair equipment issues. The position also requires assisting with equipment installations, engineering tests, modifying equipment procedures, increasing tool uptime through systematic problem solving, and thoroughly documenting all maintenance. This is a hands-on equipment-focused role with time spent in the fabrication facility.

Requirements

• Working towards degree in Electrical Engineering, Mechanical Engineering, or a related engineering field. Other technical fields may be considered.
• Must be a current student and not graduate before September 2026.
• Knowledge of AC/DC circuits, fundamentals of electricity, and electronic components.
• Understanding of mechanical, vacuum, gas delivery, and electrical systems, including the ability to interpret schematic diagrams for issue resolution.
• Programming and data analysis experience using tools such as Python, Java, Tableau, MATLAB, or Microsoft Office applications.

Nice To Haves

• Strong verbal and written communication skills with the ability to collaborate effectively across engineering and manufacturing teams.
• Experience applying statistical process control (SPC), Design of Experiments (DOE), 8D, or other structured problem-solving methodologies.
• Understanding of semiconductor manufacturing processes, equipment systems, and cleanroom operations.
• Experience implementing automation, AI, machine learning, or advanced analytics to improve equipment performance, reliability, or operational efficiency.
• Experience and/or interest in developing Agentic AI workflows into current or future processes.

Responsibilities

• Safely identify, handle, and work with chemicals and associated hazards in the work area.
• Recognize and respond appropriately to safety alarms and events, including EES, fire alarms, MDA, and ERT notifications.
• Drive improvements in area and shift KPIs through LTD reduction, MA improvement, excursion prevention, and the application of AI-enabled analytics and automation solutions where appropriate.
• Foster a culture of Total Productive Maintenance (TPM) through ownership of TPM metrics, workstation health reports, continuous improvement initiatives, and MTAG execution.
• Partner with Equipment Owners, Shift Engineers, and Technicians to resolve issues that may result in yield loss, defects, excursions, tool restrictions, or output loss.
• Lead root cause investigations and implement sustainable corrective and preventive actions to prevent recurrence.
• Leverage Statistical Process Control (SPC), Design of Experiments (DOE), and structured problem-solving methodologies such as 8D to improve process control, reduce defectivity, and minimize unplanned downtime.
• Develop, maintain, and update procedures, training materials, assessor checklists, and related documentation to support standardized execution and continuous improvement.

Benefits

• Choice of medical, dental and vision plans
• Benefit programs that help protect your income if you are unable to work due to illness or injury
• Paid family leave
• Robust paid time-off program
• Paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Associate degree