Intern - Test Equipment Technician

Posted An Hour Ago
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Singapore, SGP
In-Office
Internship
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Your talent powers our future.
The Role
Develop an end-to-end data pipeline and structured knowledge framework for SSD test equipment, apply data analytics and AI techniques to extract insights, build interactive dashboards, identify recurring issues and improvement opportunities, and document methodologies while validating results with engineering use cases.
Summary Generated by Built In
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
Solid State Drive Test Equipment Engineering
Project Title
Development of AI-Driven Data Pipeline and Knowledge Framework for Equipment Intelligence
Project Description
Artificial intelligence and data analytics are increasingly being introduced into the semiconductor business to improve engineering efficiency, equipment performance, and decision quality.
In Solid State Drive (SSD) test equipment engineering, valuable information is generated from tester events, equipment changeover activities, troubleshooting records, maintenance history, engineering observations, and improvement projects.
This project aims to develop a structured framework that connects these information sources into a practical digital improvement tool. By integrating diverse data sources, the project seeks to transform equipment-related data into actionable insights that support engineering excellence and business improvement.
Scope of Work
  • Design and develop a data pipeline to integrate multiple equipment-related data sources (e.g., tester events, maintenance logs, troubleshooting records)
  • Structure and organize engineering data into a usable knowledge framework
  • Apply data analytics techniques to extract meaningful insights from equipment data
  • Identify recurring issue trends, problem patterns, and improvement opportunities
  • Develop visualization dashboards to present data insights effectively
  • Explore AI prompting and classification methods to enhance knowledge extraction and usability
  • Validate insights with engineering use cases and feedback

Deliverables
  • End-to-end data pipeline integrating multiple equipment data sources
  • Structured knowledge framework for equipment-related information
  • Interactive dashboard(s) for data visualization and insight tracking
  • Analytical insights report, including:
    • Recurring issue trends
    • Improvement opportunities
    • Equipment learning patterns
    • Action effectiveness evaluation
  • Documentation of methodology, framework design, and recommendations

Learning Outcomes
The intern will have the opportunity to:
  • Learn and apply industrial data analytics and data structuring techniques
  • Gain hands-on experience in dashboard development and visualization tools
  • Develop knowledge in artificial intelligence prompting and problem classification
  • Understand semiconductor equipment engineering concepts and workflows
  • Participate in an end-to-end solution development environment and contribute ideas
  • Learn from experienced subject matter experts while developing a practical business solution

Required Skillset
  • Basic knowledge of data analytics and data processing
  • Familiarity with programming languages (e.g., Python, SQL, or equivalent)
  • Understanding of data visualization tools (e.g., Power BI, Tableau, or similar)
  • Strong analytical thinking and problem-solving skills
  • Interest in artificial intelligence / machine learning concepts
  • Good communication and collaboration skills

Course of Study
  • Data Science
  • Computer Science / Computer Engineering
  • Electrical / Electronic Engineering
  • Industrial Engineering or related disciplines

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.
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.

Skills Required

  • Basic knowledge of data analytics and data processing
  • Familiarity with programming languages such as Python or SQL
  • Understanding of data visualization tools such as Power BI or Tableau
  • Strong analytical thinking and problem-solving skills
  • Interest in artificial intelligence and machine learning concepts
  • Good communication and collaboration skills
  • Course of study in Data Science, Computer Science/Engineering, Electrical/Electronic Engineering, Industrial Engineering, or related discipline

Micron Technology Compensation & Benefits Highlights

  • Retirement Support The RAM 401(k) plan provides a dollar‑for‑dollar company match up to 5% of eligible pay with automatic enrollment and escalation. After‑tax contributions and in‑plan Roth conversions add flexibility for additional savings.
  • Healthcare Strength Multiple medical plan options with HSA/FSA support, mental‑health resources, and wellness programs are documented. Access to the Micron Family Health Center at Boise for enrollees adds onsite care in certain locations.
  • Equity Value & Accessibility An Employee Stock Purchase Plan enables purchases of company stock at a 15% discount in multiple regions. Company materials also reference equity participation, reinforcing employee ownership opportunities.

Micron Technology Insights

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The Company
HQ: Boise, ID
45,000 Employees
Year Founded: 1978

What We Do

We are a world leader in innovative memory solutions that transform how the world uses information to enrich life for all. For over 45 years, our company has been instrumental to the world’s most significant technology advancements, delivering optimal memory and storage systems for a broad range of applications.

Why Work With Us

Global opportunities, team member development, and career advancement—Micron invests in you and celebrates your skills, a growth mindset, and the tenacity to strive. At Micron, everyone innovates.

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Micron Technology Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Micron recognizes the importance of maintaining a healthy work-life balance to foster a culture of collaboration, innovation and meet the needs of the business. In alignment with these values, we offer four flexible work arrangement options

Typical time on-site: Flexible
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