Intern - NAND Device Engineering AI at Micron Technology

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

22 Aug, 26

Salary

0.0

Posted On

24 May, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, Deep Learning, AI Automation, Data Pipelines, NLP, Agentic AI, SQL, Data Visualization, Scikit-learn, TensorFlow, PyTorch, LangChain, Workflow Orchestration, Electrical Characterization, 3D NAND Technology

Industry

Semiconductor Manufacturing

Description

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. Role Overview As an AI / Data Science Intern in the NAND Device Engineering group, you will apply artificial intelligence and data science techniques to accelerate and automate device characterization, enable autonomous data analysis and decision-making, improve task and project management, and increase efficiency across all facets of development in advanced 3D NAND technologies. You will design and build intelligent automation workflows, AI-assisted decision-support systems, and scalable data pipelines that empower engineering teams to work faster and smarter — from routine characterization tasks to strategic project execution. Key Responsibilities Design and develop AI-powered automation workflows for electrical characterization of 3D NAND memory cells, including automated data extraction, analysis, reporting, and anomaly flagging across program, read, erase, reliability, and variability datasets. Build intelligent decision-support tools that synthesize large-scale device data into prioritized, actionable recommendations — enabling faster engineering decisions on device optimization, design-of-experiment planning, and risk assessment. Develop AI-driven task and project management solutions that automate tracking, prioritization, status reporting, and follow-up across device engineering projects and cross-functional workstreams. Apply machine learning techniques (classification, regression, clustering, NLP, agentic AI) to automate pattern recognition, trend identification, and root-cause analysis in device performance datasets. Create automated data pipelines for data extraction, cleaning, feature engineering, and integration across multiple characterization and metrology data sources. Build interactive visualizations, dashboards, and auto-generated summary reports that communicate device insights to technical and non-technical audiences with minimal manual effort. Explore and implement LLM-based and agentic AI approaches for automating routine engineering workflows such as data interpretation, report generation, meeting summarization, and knowledge retrieval. Work independently with a high level of self-motivation, time management, and prioritization skills. Deliver a complete intern project package, including code/notebooks, automation tools, documentation, and presentation-ready summaries. Education and Experience Currently pursuing a Bachelor's degree / Master’s degree / Ph.D in Computer Science, Data Science, Artificial Intelligence, Statistics, Electrical Engineering, Physics, Mathematics, or a related field, and available preferably for a semester-long internship. Strong proficiency in Python and experience building end-to-end data analysis or automation workflows is required. Demonstrated experience or coursework in machine learning, deep learning, or AI applications (scikit-learn, TensorFlow, PyTorch, LangChain, or similar frameworks) is required. Experience with automation and workflow orchestration (e.g., scripting pipelines, API integrations, Power Automate, Airflow, or similar tools) is highly preferred. Familiarity with LLMs, NLP, or agentic AI frameworks for building intelligent assistants or automated workflows is a strong plus. Experience with SQL, data visualization tools (Tableau, Power BI, Streamlit), or dashboard development is a plus. Exposure to semiconductor device physics, NAND flash memory, or electrical characterization is a plus. Experience with cloud platforms (Azure, AWS, GCP) or big data tools (Spark, BigQuery) is a bonus. 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 hrsupport_sg@micron.com 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. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Responsibilities

Design and develop AI-powered automation workflows and decision-support tools for the electrical characterization of 3D NAND memory cells. Implement machine learning and LLM-based approaches to automate data analysis, project management, and engineering reporting.