Wet Etch Process Development Intern — AI‑Driven Analysis

Micron Technology

Boise (ID)

On-site

USD 28,000 - 39,000

Full time

17 hours ago
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Benefits offered by this job

Medical, dental & vision plans
Paid time-off
Paid holidays
Paid family leave

Job summary

Micron Technology is seeking a Wet Process Intern to collaborate with engineers on innovative wet processing solutions for future semiconductor devices. You will gain hands-on experience in experimental work, data analysis, and cross-functional teamwork within the Wet Process Group.

The role emphasizes applying AI-based analysis, communicating results through technical reports, and supporting process capability and contamination control initiatives.

Qualifications

  • Currently pursuing an MS or PhD in Chemical Engineering, Chemistry, Materials Science or related field.
  • Academic experience in wet processing, chemistry research or related laboratory environments.
  • Strong written and verbal communication skills for reports and presentations.
  • Ability to work independently with good time management and project ownership.
  • Experience collaborating in both individual and team settings.

Responsibilities

  • Develop, execute, and evaluate wet process experiments for future semiconductor nodes.
  • Assist with chemistry development, contamination reduction, and surface/interface characterization.
  • Analyze data and communicate findings via technical reports and presentations.
  • Collaborate with multi-functional engineering teams to improve productivity and manufacturability.
  • Apply AI-enabled analysis tools to improve research efficiency and data workflows.

Skills

Wet processing experience
Chemistry research
Communication skills
Team collaboration

Education

MS or PhD in Chemical Engineering, Chemistry, Materials Science

Tools

AI tools

Job description

Micron Technology is seeking a Wet Process Intern to collaborate with engineers on innovative wet processing solutions for future semiconductor devices. You will gain hands-on experience in experimental work, data analysis, and cross-functional teamwork within the Wet Process Group.

The role emphasizes applying AI-based analysis, communicating results through technical reports, and supporting process capability and contamination control initiatives.

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