Equipment Engineer Intern — AI-Driven Troubleshooter

Micron Technology, Inc.; Manassas (VA); On-site; USD 55,000 - 58,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Paid time off

Job summary

Micron Technology, Inc. is seeking an Equipment Engineer Intern in Manassas, VA. You will gain hands-on experience supporting reliability, performance, and continuous improvement of semiconductor manufacturing equipment.

You will analyze data, troubleshoot issues, and participate in upgrades with cross-functional teams while adhering to safety and cleanroom standards. Experience with data analysis and structured problem solving is valued, along with the ability to document findings and

Qualifications

• Bachelor’s degree in Electrical, Mechanical, Chemical, Materials Science, Manufacturing, Mechatronics, Industrial Engineering, or related field.

Responsibilities

• Analyze equipment and manufacturing data to identify performance trends and reliability concerns.
• Support troubleshooting, root cause analysis, and corrective actions.
• Create or enhance SOPs and troubleshooting documentation during equipment upgrades or improvement projects.
• Collaborate with Process, Manufacturing, Facilities, Quality, Maintenance and supplier teams to present findings to stakeholders.
• Apply AI-supported data and equipment health insights to improve performance while following safety and cleanroom standards.

Skills

Analytical skills

Structured problem-solving

Documentation

Cross-functional collaboration

Communication

AI tools

Data analysis

Education

Engineering degree

Tools

AI tools

Statistical methods

Job description

Micron Technology, Inc. is seeking an Equipment Engineer Intern in Manassas, VA. You will gain hands-on experience supporting reliability, performance, and continuous improvement of semiconductor manufacturing equipment.

You will analyze data, troubleshoot issues, and participate in upgrades with cross-functional teams while adhering to safety and cleanroom standards. Experience with data analysis and structured problem solving is valued, along with the ability to document findings and