Intern - Equipment Engineer

Micron Technology, Inc.; Manassas (VA); On-site; USD 25,000 - 39,000; Full time

Benefits offered by this job

Paid time off

Paid holidays

Benefits package

Job summary

Micron Technology, Inc. is seeking an Equipment Engineer Intern to gain hands-on experience supporting reliability, performance, and continuous improvement of advanced semiconductor manufacturing equipment.

You will work with experienced engineers to analyze equipment data, perform root-cause analysis, and participate in equipment upgrades and SOP enhancements, leveraging AI-enabled insights and cross-functional collaboration.

Qualifications

• Pursuing a Bachelor’s degree in a technical field listed in the job posting.
• Willing to work in semiconductor manufacturing and cleanroom environments.

Responsibilities

• Analyze equipment and manufacturing data to identify performance trends and improvement opportunities.
• Support troubleshooting, structured problem-solving, root cause analysis, corrective actions, and equipment recovery activities.
• Collaborate with cross-functional teams and communicate technical findings to stakeholders.
• Apply AI-supported data and health insights to assist with equipment analysis and performance improvements while following safety standards.

Skills

Analytical thinking

Structured problem solving

Data interpretation

Documentation & communication

Team collaboration

Education

Bachelor's degree in Electrical Engineering

Bachelor's degree in Mechanical Engineering

Bachelor's degree in Chemical Engineering

Bachelor's degree in Materials Science

Tools

SPC software

AI/ML basics

Data analysis tools

Job description

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.

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.

Minimum Qualifications

• 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.

Preferred Qualifications

• 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.

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time‑off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.