Intern - HBM Component Validation

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE LTD; Singapore; On-site; SGD 20,000 - 31,000; Full time

Job summary

Micron Technology, Inc. is seeking a motivated intern to develop an AI-enabled analytics platform for component validation data using Tableau. You will build scalable data pipelines in Python or Java and create interactive dashboards to compare results across products and operating conditions.

The role offers hands-on experience in semiconductor validation analytics, data engineering, and AI applications, with potential full-time opportunities based on business needs and performance.

Qualifications

• Pursuing a degree in CS/CE/EE/Data Science or related field with interest in software development, data analytics, or semiconductor engineering.
• Experience with Tableau is beneficial.
• Strong knowledge of Python/Java and SQL or data-processing basics.

Responsibilities

• Develop an AI-enabled analytics platform using Tableau dashboards.
• Create reusable Python/Java data-processing workflows for ingestion and normalization of validation data.
• Build a standardized relational data model for cross-flow analysis of validation results.
• Develop interactive dashboards with plots, tables, trends, and comparisons across conditions and product generations.
• Document architecture, pipelines, and deliver a final project report and presentation.

Skills

Tableau

Python

Java

Data analysis

Education

Bachelor's or higher in CS/CE/EE/Data Science

Tools

SQL

Relational databases

Job 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.

Department

Heterogeneous Integration Group, High Bandwidth Memory Product System Engineering

Project Title

AI-Enabled Unified Component Validation Analytics Platform Using Tableau

Project Description

The intern will develop an AI-enabled analytics platform that transforms raw component validation data into standardized and interactive visualizations using Tableau.

Through this project, the intern will gain practical experience in semiconductor validation analytics, data engineering, dashboard development, and Artificial Intelligence applications. The platform will enable engineers to examine High Bandwidth Memory validation results across different products, operating conditions, validation flows, and execution runs.

Objective of the Project

• Develop a centralized and scalable analytics platform for Component Validation data.
• Establish a reusable data model that enables consistent analysis across validation flows and High Bandwidth Memory product generations.
• Improve the clarity and accessibility of validation results through interactive Tableau dashboards.
• Evaluate AI-enabled methods for anomaly identification, root-cause investigation guidance, and generation of engineering insights.
  

Opportunities for Full-Time Employment

• The internship will provide exposure to engineering roles involving product validation, data analytics, software development, and Artificial Intelligence.
• Any consideration for future employment will be based on business requirements, position availability, and the intern’s overall suitability.
  

Project Scope

• Develop or enhance a centralized Tableau dashboard platform for Component Validation analytics.
• Create reusable Python or Java data-processing workflows to ingest, clean, normalize, and integrate execution data from multiple validation flows.
• Design a standardized relational data model for cross-flow and cross-product analysis of High Bandwidth Memory validation results.
• Build interactive dashboards containing plots, tables, trends, statistical summaries, and comparisons between current and next-generation products.
• Explore AI-enabled and Agentic AI approaches for anomaly identification, root-cause investigation guidance, workflow scalability, and generation of interpretable engineering insights.
  

Learning Opportunities

• Gain practical knowledge of High Bandwidth Memory product validation and semiconductor engineering data.
• Develop proficiency in Tableau dashboard design, data storytelling, and visualization best practices.
• Apply Python or Java and Structured Query Language to data processing, integration, and reusable pipeline development.
• Learn to evaluate Generative AI, AI Assistants, Large Language Models, or Agentic Solutions within an engineering analytics context.
  

Deliverables

• A scalable, interactive, and user-friendly Tableau platform for Component Validation analytics.
• Standardized data structures and documented data pipelines for repeatable dashboard development.
• Visualizations of validation trends and product comparisons across voltage, temperature, data rate, validation flow, and execution runs.
• A technical project report documenting the architecture, development methodology, findings, limitations, and recommended enhancements.
• A final presentation and demonstration of the completed platform and project outcomes.
  

Impact of the Project

• Improve the consistency and accessibility of Component Validation analytics.
• Enable more effective comparison of validation results across products, conditions, and execution flows.
• Reduce manual data preparation through standardized and reusable data-processing methods.
• Establish a foundation for future AI-enabled anomaly identification and engineering insight generation.
  

Skillsets Required

• Knowledge of Tableau, including dashboard development, data visualization, and interactive analysis.
• Programming knowledge in Python and/or Java for data processing and application integration.
• Understanding of Structured Query Language, relational databases, and data-modeling concepts.
• Familiarity with data analytics, statistical interpretation, and visualization best practices.
• Interest in AI-enabled workflows, Generative AI, AI Assistants, Agentic AI, or Large Language Model applications.
  

Course of Interest

The ideal candidate should be pursuing a degree or equivalent qualification in Computer Science, Computer Engineering, Electrical and Computer Engineering, Data Science, or a related discipline, with an interest in software development, data analytics, or semiconductor engineering.

Duration of Period

The ideal candidate should be able to commit to a full-time internship period of at least 3 months.

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich lifefor 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 ••••@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.