Intern - ID1 ATE PI Engineer

Micron Technology

Boise (ID)

Sur place

USD 30 000 - 42 000

Plein temps

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Avantages offerts par ce poste

Medical insurance
Dental plan
Vision plan
Paid time off
Paid holidays
Retirement benefits

Résumé du poste

Micron Technology in Boise invites a Process Integration Engineer Intern to contribute to advanced DRAM technology development and manufacturing. You will work hands-on with data analysis and cross-functional teams to optimize processes, improve yields, and support AI-enabled innovations.

The internship offers exposure to inline data analysis, dashboards, and engineering problem solving, with mentorship from senior engineers and real impact on production readiness and device performance.

Qualifications

  • Bachelor’s, Master’s, or Ph.D. in a technical field such as Electrical Engineering, Materials Science and Engineering, Chemical Engineering, or Physics.
  • Strong analytical, critical thinking, and technical problem-solving skills.
  • Fundamental understanding of semiconductor devices and manufacturing principles.
  • Experience with statistical data analysis and interpretation of technical data sets.
  • Ability to communicate findings effectively in a collaborative team environment.

Responsabilités

  • Support integration and optimization of semiconductor process modules across the DRAM manufacturing flow.
  • Analyze electrical, inline, process, and yield data to identify performance gaps and anomalies.
  • Apply statistical methods to investigate complex technical issues.
  • Collaborate across cross-functional teams to drive continuous improvement initiatives.
  • Use data analytics, visualization tools, automation, and AI-assisted tech to boost efficiency.
  • Support experiments and data analysis to relate process conditions to device performance.
  • Develop dashboards and reporting tools for engineering insights.
  • Document findings and communicate results to leadership with AI-enhanced workflows.

Connaissances

Analytical skills
Technical problem-solving
Statistical data analysis
Data interpretation
Communication in team
Semiconductor fundamentals

Formation

Electrical Engineering
Materials Science & Engineering
Chemical Engineering
Physics
Related technical field

Outils

JMP
Excel
Python
Scripting
Dashboards
Data visualization
AI tools

Description du poste

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.

The Process Integration team plays a critical role in developing and manufacturing advanced DRAM technologies that power next-generation computing, data centers, mobile devices, and AI applications. Our team collaborates across Process Engineering, Device Engineering, Yield Engineering, and Technology Development to optimize semiconductor manufacturing processes, improve product performance, and accelerate the successful deployment of leading-edge memory solutions. Through data-driven decision making, innovation, and continuous improvement, we enable the development of technologies that support the future of artificial intelligence and advanced computing.

Position Overview

Micron is seeking a highly motivated Process Integration Engineer Intern for a 6-month internship supporting advanced DRAM technology development and manufacturing. This position provides hands‑on experience in semiconductor process integration, electrical and inline data analysis, yield improvement, and cross‑functional engineering collaboration. The intern will work closely with experienced engineers to analyze complex manufacturing data, identify process optimization opportunities, and support engineering solutions that enhance technology performance, manufacturing readiness, and AI‑enabled innovation.

Responsibilities
  • Support the integration and optimization of semiconductor process modules across the DRAM manufacturing flow.
  • Analyze electrical, inline, process, and yield data to identify performance gaps, yield detractors, and process anomalies.
  • Apply statistical analysis and engineering problem‑solving methodologies to investigate complex technical issues.
  • Partner with Process Integration, Process Engineering, Yield Engineering, Device Engineering, Technology Development, and other cross‑functional teams to drive continuous improvement initiatives.
  • Utilize data analytics, visualization tools, automation, and AI‑assisted technologies to improve engineering efficiency, productivity, and decision‑making.
  • Support experiments and data analysis to understand relationships between process conditions, device performance, and product yield.
  • Develop dashboards, analytical methods, and reporting tools that improve engineering effectiveness and business insights.
  • Document technical findings and communicate results, recommendations, and project updates to engineering teams and leadership while leveraging AI in day‑to‑day activities and tasks.
Minimum Qualifications
  • Currently pursuing a Bachelor’s, Master’s, or Ph.D. degree in Electrical Engineering, Materials Science and Engineering, Chemical Engineering, Physics, or a related technical field.
  • Strong analytical, critical thinking, and technical problem‑solving skills.
  • Fundamental understanding of semiconductor devices, semiconductor processing, or semiconductor manufacturing principles.
  • Experience with statistical data analysis and interpretation of technical data sets.
  • Demonstrated ability to analyze data, draw engineering conclusions, and communicate findings effectively in a collaborative team environment.
Preferred Qualifications
  • Knowledge of semiconductor fabrication processes and manufacturing flows; DRAM process knowledge is a plus.
  • Knowledge of semiconductor devices, including CMOS and/or capacitor fundamentals.
  • Experience with statistical methods such as SPC, DOE, correlation analysis, and yield analysis.
  • Experience using engineering data analysis and visualization tools such as JMP and Excel.
  • Experience with Python, scripting, automation, dashboards, data visualization, AI tools, or previous semiconductor industry, research, laboratory, or process engineering experience is a plus.
  • Experience and/or interest in developing Agentic AI workflows into current or future processes.

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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