Intern - Test Engineering
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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.
Project Description
Project Objectives (Learning Objectives)
- Understand the structure and characteristics of semiconductor manufacturing test data.
- Learn fundamental concepts of manufacturing Key Performance Indicators (critical metrics) such as cycle time, Work‑In‑Progress (WIP), and line health indicators.
- Apply data extraction, transformation, and visualization techniques in a controlled project setting.
- Develop problem‑solving and analytical thinking skills through a real‑world engineering data case study.
- Communicate technical findings through dashboards and a structured project presentation.
Project Scope
- Studying selected manufacturing test data sources and understanding associated data definitions.
- Designing a prototype data workflow to demonstrate data extraction and transformation concepts.
- Developing prototype dashboards using Power BI and/or Tableau to visualize selected manufacturing KPIs (e.g., lot disposition cycle time, WIP aging, line trend indicators).
- Documenting data assumptions, critical metric definitions, and visualization logic as part of the learning project.
- Presenting project outcomes, insights, and lessons learned at the end of the internship.
Learning Opportunities
- Semiconductor test manufacturing processes (conceptual understanding).
- Engineering data workflows and analytics use cases.
- Data visualization principles for engineering and manufacturing metrics.
- Industry‑standard analytics tools such as Power BI and Tableau.
- Professional project documentation and technical presentation skills.
Deliverables
- One or more prototype dashboards developed using Power BI and/or Tableau as a learning artifact.
- A prototype data automation or transformation workflow demonstrating data handling concepts.
- Project documentation describing data sources, critical metric definitions, and dashboard logic.
- A final project report or presentation summarizing the problem statement, approach, solution design, and learning outcomes.
Impact of Project
- A structured learning experience for the intern in manufacturing data analytics.
- Prototype‑level insights that may inform future engineering analytics initiatives.
- Enhanced documentation and visualization concepts that can be reviewed by engineering teams.
Skillsets Required
- Basic programming or scripting knowledge (e.g., Python, SQL, or equivalent).
- Interest in data analytics, automation, or visualization.
- Familiarity with or willingness to learn Power BI and/or Tableau.
- Analytical thinking and problem‑solving skills.
- Good documentation and communication skills.
Course of Interest
- Engineering (Electrical, Computer, Industrial, or related)
- Data Analytics / Data Science
- Computer Science / Information Systems
- Statistics or Applied Mathematics
Duration Period
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.
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