Intern - Photomask Wet Process Engineering

Micron Technology

Boise (ID)

On-site

USD 28,000 - 41,000

Full time

3 days ago
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Benefits offered by this job

Mentorship
High-visibility project
Career networking

Job summary

Micron Technology seeks a Photomask Wet Process Engineering Intern at the Mask Technology Center in Boise. You will contribute to cleaning and resist strip processes for EUV/DUV photomasks and gain hands-on semiconductor process development experience.

You'll lead a summer project with measurable business and technical impact, present findings to engineering teams and site leadership, and collaborate with process, manufacturing, and metrology engineers for data-driven improvements.

Qualifications

  • Currently pursuing an MS or PhD in Chemical Engineering, Chemistry, Materials Science, Physics, or a related technical field; graduation after Sept 2027.
  • Fundamental knowledge of chemistry, materials science, surface science, or semiconductor manufacturing processes.
  • Strong analytical and problem-solving skills.
  • Excellent written and verbal communication skills.
  • Demonstrated ability to work independently and in a collaborative team environment.

Responsibilities

  • Gain hands-on experience developing advanced processes for groundbreaking EUV and DUV photomask technologies.
  • Support development and optimization of advanced photomask wet cleaning and resist strip processes.
  • Design and implement experiments to evaluate process performance and identify opportunities for improvement.
  • Analyze defect, contamination, and yield data using statistical and analytical tools; apply data analytics to identify trends and drive improvements.
  • Characterize process equipment and evaluate tool-to-tool matching performance.
  • Collaborate with process, manufacturing, equipment, and metrology engineers to investigate excursions and implement corrective actions.
  • Develop process characterizations, qualification plans, and technical documentation.
  • Apply data science and machine learning techniques to identify correlations and yield improvement opportunities.

Skills

Strong analytical skills
Excellent communication
Independent and collaborative work

Education

MS or PhD in a related field

Tools

Excel
JMP
Python
Tableau
Power BI

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.

Micron Technology is a global leader in memory and storage solutions, transforming how the world uses information to enrich life for all. At the Mask Technology Center (MTC), we develop and manufacture advanced photomasks that enable next-generation semiconductor technologies.

As a Photomask Wet Process Engineering Intern, you will join the MTC Cleans Team and contribute to the development of advanced cleaning and resist strip processes used in the fabrication of DUV and EUV photomasks. This role provides hands-on experience in semiconductor process development, defect reduction, contamination control, and data-driven engineering. You'll have the opportunity to lead an independent summer project with measurable business and technical impact, and present your technical findings and recommendations to engineering teams and site leadership. Project areas include: EUV and DUV defect reduction, Contamination mitigation and control, Advanced wet cleaning chemistry development, Resist strip process optimization, Tool matching and qualification, Yield improvement initiatives, Process characterization and capability enhancement, Data analytics and process monitoring

Responsibilities
  • You will gain: Hands-on experience developing advanced processes for groundbreaking EUV and DUV photomask technologies. Exposure to semiconductor manufacturing, defect engineering, and process integration. Mentorship from experienced engineers and technical leaders. Opportunity to lead a high-visibility engineering project and present results to MTC leadership. Experience applying scientific and engineering principles to solve real-world manufacturing challenges.
  • Support development and optimization of advanced photomask wet cleaning and resist strip processes.
  • Design and implement experiments to evaluate process performance and find opportunities for improvement.
  • Analyze defect, contamination, and yield data using statistical and analytical tools. Use data analytics to identify trends, establish process windows, and drive process improvements. Apply AI-assisted tools and advanced analytics to analyze process, defect, and equipment data
  • Characterize process equipment and evaluate tool-to-tool matching performance.
  • Collaborate with process, manufacturing, equipment, and metrology engineers to investigate process excursions and implement corrective actions.
  • Develop process characterizations, qualification plans, and technical documentation.
  • Apply data science and machine learning techniques, where appropriate, to identify correlations, process trends, and yield improvement opportunities.
Minimum Qualifications
  • Currently pursuing an MS or PhD in Chemical Engineering, Chemistry, Materials Science, Physics, or a related technical field. Will not graduate prior to September 2027.
  • Fundamental knowledge of chemistry, materials science, surface science, or semiconductor manufacturing processes.
  • Strong analytical and problem-solving skills.
  • Excellent written and verbal communication skills.
  • Demonstrated ability to work independently and in a collaborative team environment.
Preferred Qualifications
  • Experience with experimental design, statistical analysis, or Design of Experiments (DOE).
  • Familiarity with semiconductor manufacturing, photolithography, or wafer/mask processing.
  • Experience with data analysis tools such as Excel, JMP, Python, Tableau, or Power BI. Experience interpreting large datasets and generating actionable insights.
  • Knowledge of contamination control, defect inspection, metrology, or surface characterization techniques.
  • Familiarity with AI-assisted engineering tools, machine learning concepts, data analytics, or generative AI platforms such as Microsoft Copilot.

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.

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

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