Intern - Equipment Engineer

Micron Technology • Manassas, VA

1d • Onsite

About The Position

Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As an Equipment Engineer Intern, you will gain hands-on experience supporting the reliability, performance, and continuous improvement of advanced semiconductor manufacturing equipment. You will work alongside experienced engineers and technicians to investigate technical challenges, analyze equipment performance, and support improvement projects across manufacturing, process engineering, maintenance, and supplier teams. As part of Micron’s AI-enabled ecosystem, you may also use AI-supported data, equipment health insights, and advanced analytics to help identify opportunities to improve equipment performance, reliability, and troubleshooting.

Requirements

• Currently pursuing a Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Chemical Engineering, Materials Science, Manufacturing Engineering, Mechatronics, Industrial Engineering, or a related technical field.
• Willing and able to work in a semiconductor manufacturing and cleanroom environment, including wearing required PPE and cleanroom garments and performing the physical activities necessary to access manufacturing equipment.
• Demonstrated analytical and structured problem-solving skills through coursework, labs, research, projects, or previous work experience.
• Experience analyzing or interpreting technical data through coursework, labs, research, projects, or previous work experience.
• Demonstrated ability to document technical work, communicate findings, collaborate across teams, and learn new engineering concepts and tools.

Nice To Haves

• Coursework, labs, research, projects, or internship experience related to semiconductor manufacturing, high-volume manufacturing, equipment maintenance, reliability, or process improvement.
• Experience or coursework involving robotics, automation, mechanical or electrical systems, vacuum systems, or industrial controls.
• Experience applying Statistical Process Control (SPC), statistical methods, or data-analysis tools to engineering or manufacturing problems.
• Exposure to equipment qualification, validation, troubleshooting, root cause analysis, or continuous improvement methodologies.
• Experience Using AI, Applying AI, machine learning, or data-analysis tools to engineering problems through coursework, research, projects, or previous internships.

Responsibilities

• Analyze equipment and manufacturing data to identify performance trends, reliability concerns, and continuous improvement opportunities.
• Support technical troubleshooting, structured problem-solving, root cause analysis, corrective actions, and equipment recovery activities.
• Participate in equipment upgrades, modifications, qualifications, and improvement projects, including the creation or enhancement of SOPs and troubleshooting documentation.
• Collaborate with Process, Manufacturing, Facilities, Quality, Maintenance, and supplier teams and communicate technical findings and recommendations to stakeholders.
• Apply AI Supported data and equipment health insights, where appropriate, to assist with equipment analysis, troubleshooting, and performance improvement while following applicable safety, quality, cleanroom, and manufacturing standards.

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