Intern - NAND Cell Reliability

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

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

As an intern, you will work with an experienced mentor and project stakeholders to deliver a focused technical project. Depending on your background and business needs, your project may include work in one or more of the following areas:

Project Scope

• Reliability data analysis & variation learning: analyze reliability datasets to understand sources of variation (e.g., die/block/wordline effects), and communicate insights with clear visuals and summaries.

• Qualification learning support (intrinsic cell reliability): help track and interpret reliability indicators and error behaviors relevant to NAND reliability learning and qualification readiness.

• Automation / efficiency improvement: develop or enhance scripts to improve repeatability, reduce manual effort, and speed up analysis/learning cycles (Python preferred).

Expected deliverables

• A well‑scoped project plan (problem statement, approach, timeline, risks)

• A final technical readout (slides + short write‑up) summarizing method, results, and recommendations

• Reproducible analysis artifacts (scripts/notebooks) and clear documentation for handoff

What you will learn

• How NAND memory reliability is evaluated, including key concepts like bit errors, error behavior, and reliability mechanisms under use conditions.

• How engineering teams use data to accelerate technology learning (including initiatives related to test time reduction, die‑level predictors, and efficiency improvements).

• How cross‑functional teams collaborate across TD, characterization, and (where applicable) system/validation partners.

Skillset Required:

• Currently pursuing a PhD in Electrical/Electronics/Materials Engineering, Applied Physics, or a related discipline.

• Basic understanding of semiconductor device physics and materials characterization.

• Strong analytical and problem-solving skills; demonstrated innovation is highly valued.

• Effective communication skills and a collaborative mindset.

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.

To learn more, please visit micron.com/careers

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

To request assistance with the application process and/or for reasonable accommodations, please contact [email protected]

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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