CMP Process Development Intern: AI-Driven Research

1000 Micron Technology, Inc.; Boise (ID); On-site; USD 70,000 - 90,000; Full time

Benefits offered by this job

Medical plans

Dental plans

Vision plans

Paid time off

Job summary

Micron Technology, Inc. in Boise, Idaho, is seeking a driven MS/PhD student to join the CMP Process Group. You will work with engineers and scientists to develop CMP processes that meet device performance requirements for future technology generations.

The role emphasizes fundamental research, data analysis, and the use of AI-enabled tools to enhance research outcomes. Collaboration across teams and effective communication are essential for reporting results and recommendations.

Qualifications

• Pursuing an MS or Ph.D. in a STEM field with post-2027 graduation
• Strong verbal and written communication in a STEM setting
• Ability to manage multiple priorities with minimal supervision
• Experience creating technical presentations and reports
• Knowledge in organic/inorganic/surface chemistry or materials science

Responsibilities

• Collaborate with engineering teams to develop and evaluate CMP processes and chemistries
• Conduct fundamental research, process characterization and data analysis
• Assist with improving process capability, productivity and contamination control
• Utilize AI-enabled tools to analyze data and improve workflows
• Prepare and present technical reports and recommendations

Skills

Data analysis

Presentations

Independent work

Multitasking

Communication skills

Education

MS/PhD student

Tools

Copilot

AI tools

Job description

Micron Technology, Inc. in Boise, Idaho, is seeking a driven MS/PhD student to join the CMP Process Group. You will work with engineers and scientists to develop CMP processes that meet device performance requirements for future technology generations.

The role emphasizes fundamental research, data analysis, and the use of AI-enabled tools to enhance research outcomes. Collaboration across teams and effective communication are essential for reporting results and recommendations.