Intern - ATE Process Engineer

About Micron

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. Our vision is to transform how the world uses information to enrich life for all.

Micron's Boise site is undergoing a historic $15 billion investment in advanced semiconductor manufacturing, with DRAM production planned for the second half of the decade. As part of Micron's broader $150 billion global expansion, the High Volume Manufacturing (HVM) organization leverages AI-Enabled innovation, advanced analytics, and operational excellence to deliver world-class memory solutions at scale.

Role Overview

As an ID1 High Volume Manufacturing Process Engineer Intern, you will support process optimization, yield improvement, and cost reduction within a high-volume fab environment. You will collaborate with equipment engineering, operations, and multi-functional partners while applying data-driven methodologies and AI to improve wafer output, stability, and performance.

Responsibilities

• Analyze manufacturing data and apply SPC, FDC, and 8D methodologies alongside AI-assisted analytics to improve yield, reduce defects, and enhance tool availability.
• Investigate process excursions and use AI, including LLMs and Generative AI tools, to identify trends, perform root-cause analysis, and recommend corrective actions.
• Collaborate with multi-functional teams to optimize wafer processing using AI-enabled and data-driven decision-making approaches.
• Implement process improvement projects focused on increasing wafer outs, using AI and visualization tools to enhance process capability and efficiency.
• Maintain and update process documentation, integrating insights generated from artificial intelligence and standard engineering practices.

Minimum Qualifications

• Currently pursuing a STEM degree with an expected graduation between May and June 2027.
• Ability to work approximately 20 hours per week on-site in Boise, ID for 6 to 8 months (September 2026 to May/June 2027 preferred).
• Foundational knowledge of Statistical Process Control (SPC) and Design of Experiments (DOE).
• Experience with programming or analytics tools (e.g., Python, MATLAB, Tableau, Java, or Microsoft Suite).
• Exposure to using AI or applying AI (e.g., AI Assistants, LLMs, or AI-supported analytics) for data analysis or engineering problem-solving.

Preferred Qualifications

• Strong written and verbal communication skills, including the ability to present insights derived from AI and data analytics.
• Experience with data collection systems, data cleansing, database querying, and AI-supported data workflows.
• Hands-on experience with Generative AI, LLMs, or Agentic AI solutions in academic or project settings.
• Understanding of semiconductor fabrication processes and how AI-enabled solutions can improve manufacturing performance.
• Proven ability to manage time, prioritize effectively, and deliver results in a fast-paced, data- and AI-driven environment.

Benefits

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.

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.