Intern - Test Equipment Engineering

Micron Technology, Inc.; Simpang Ampat; On-site; MYR 100,000 - 167,000; Full time

Job summary

Micron Technology, Inc. in Penang, Malaysia seeks a data engineering professional to automate PPJ data extraction and generate dynamic trend charts, reducing manual Excel updates.

You will map alarm codes to equipment IDs, integrate with the source database, and enhance Power BI dashboards to surface PPJ performance by test platform, DID, equipment, and alarm category, with clear documentation for handover.

Qualifications

• Bachelor’s Degree in Electronics Engineering, Electrical Engineering, Computer Engineering, Data Science, Software Engineering, or a related discipline.

Responsibilities

• Automate data extraction from the source database and generate PPJ trend charts.

Skills

Python programming

Data analysis

Data visualization

SQL

API integration

Machine learning

Education

Bachelor’s degree in Electronics/Electrical/Computer Engineering, Data Science, Software Engineering

Tools

Power BI

SQL

APIs

Job description

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

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.

Project Title

MMP PPJ (part per jam) performance tracker enhancement

Description

The current PPJ performance tracker requires significant manual effort to update and monitor performance data.

The dashboard is not fully dynamic because it relies on data manually downloaded into Excel.

The tracking system that serves as the PPJ data source contains a large volume of information, making direct database retrieval difficult. As a result, engineers must manually download and update PPJ data.

MMP also supports multiple product configurations across different test platforms, including SM3416/TW350HT and SM3316/TW322SM. Therefore, PPJ performance must be separated by test platform.

PPJ alarm codes should also be used to identify faulty parts more effectively.

Scope

• Retrieve data from the database and automatically generate trend charts.
• Link equipment IDs with the corresponding alarm codes.
• Map alarm codes to the associated faulty parts.

Supporting Team

MMP Site Test Equipment Engineering

Deliverables

• Data Extraction and PPJ Trend Chart — Develop an automated process to extract PPJ data from the source database and convert it into clear trend charts. This will reduce manual Excel updates, improve data consistency, and allow engineers to quickly monitor PPJ performance movement over time.
• Faulty Part Identification by Alarm Code — Establish a mapping between alarm codes, equipment IDs, and related faulty parts. This will help engineers identify recurring hardware-related issues faster and support more effective troubleshooting and corrective action.
• Power BI Dashboard Enhancement — Enhance the dashboard to display PPJ performance by test platform, DID, equipment, and alarm category. The improved dashboard will provide dynamic filtering, better visibility of performance gaps, and faster drill‑down capability for engineering review.
• Documentation and Adoption — Prepare user guidance, data refresh instructions, and maintenance documentation to support handover to Site Test Engineering users. This will ensure the tracker can be consistently used, maintained, and updated after deployment.

Stretch Goal

Extend the Phase 1 automation into a more dynamic PPJ monitoring solution by enabling deeper analysis by test platform, DID, equipment ID, and alarm category. The stretch goal is to move beyond basic trend visualization and provide engineers with faster root‑cause screening capability, so recurring performance losses or faulty part patterns can be identified earlier. If the data model is stable, additional enhancement can include automated refresh scheduling, exception highlighting for abnormal PPJ drops, and a summary view showing the top contributors impacting PPJ performance. This will help reduce dependency on manual review and improve response time during engineering investigations.

Requirements

Education

• Bachelor’s Degree in Electronics Engineering, Electrical Engineering, Computer Engineering, Data Science, Software Engineering, or a related discipline.
• Candidates with exposure to Artificial Intelligence, Data Analytics, Software Development, or Automation projects are preferred.

Technical Skills

• Python programming and automation scripting.
• Data extraction, transformation, and consolidation.
• Data analysis and visualization.
• Database fundamentals and structured data management.
• Understanding of SQL or similar data-querying methods.
• Familiarity with Power BI or other dashboard development platforms.
• Experience with API integration, machine learning, or AI-assisted data extraction is an added advantage.

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 [e-mail]

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.