Intern - Test Solutions, NVM

1100 Micron SemiAsiaOP Pte Ltd; Singapore; On-site; SGD 20,000 - 28,000; Full time

Job summary

Micron Technology, Inc. in Singapore invites a motivated Intern Test Solutions Engineer to join Non-Volatile Memory Test Engineering on AI-driven analytics and automation for NAND products.

You will gain hands-on exposure to wafer probe, burn-in, and assembly test; develop data analytics, scripting, and ML workflows to improve test quality, productivity, and cost efficiency; 4-6 month internship with potential for future employment.

Qualifications

• Pursuing a Bachelor's or Master's degree in Electrical/Computer Engineering, Computer Science, Data Science, AI or related field.
• Strong programming and data analytics fundamentals.
• Experience with Python libraries (Pandas/NumPy) is preferred.

Responsibilities

• Develop data analytics and AI-enabled workflows for NAND test engineering.
• Automate analyses and validation workflows to reduce manual effort.
• Build dashboards and visualization tools that generate actionable insights from test data.
• Collaborate with cross-functional teams in Product Engineering, Manufacturing, Quality, and Data Science.

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.

Location

F10N, 1 North Coast Drive, Singapore 757432

Project Title

AI-Driven Test Engineering Automation and Analytics for NAND Products

Project Description

As an Intern Test Solutions Engineer in Non-Volatile Memory Test Engineering, you will work on advanced semiconductor test engineering projects focused on NAND memory product development, manufacturing test optimization, and Artificial Intelligence-enabled engineering automation. The project provides hands-on exposure to wafer probe, burn-in, and assembly test solutions used in high-volume semiconductor manufacturing environments. You will collaborate with experienced test engineers and cross-functional teams to develop analytical and automation solutions that improve test quality, engineering productivity, cost efficiency, and decision-making. Through this project, you will apply data analytics, machine learning, scripting, and software development techniques to real engineering challenges while developing practical knowledge of semiconductor memory testing.

Objective of the Project

• Develop data analytics and Artificial Intelligence-enabled solutions for NAND test engineering.
• Automate selected engineering analyses and validation workflows to reduce manual effort and engineering cycle time.
• Generate actionable insights from large-scale manufacturing and test datasets.
• Evaluate opportunities to improve test effectiveness, product quality, and engineering productivity.

Opportunities for Full Time Employment

High-performing interns may be considered for future internship or full-time employment opportunities, subject to business needs, role availability, and the applicable selection process.

Project Scope

• Develop data analytics and Artificial Intelligence-enabled workflows to improve engineering efficiency across NAND test development and manufacturing.
• Design and implement automation solutions for test-result analysis, wafer tracking, yield correlation, and test-program validation.
• Build dashboards and visualization tools that generate actionable insights from large-scale manufacturing and test datasets.
• Apply scripting and software development techniques to improve test infrastructure, code reusability, and engineering productivity.
• Explore machine learning algorithms for the predictive analysis of test performance, quality indicators, and manufacturing trends.

Learning Opportunities

• Gain hands‑on experience in semiconductor memory test engineering and NAND product development.
• Learn wafer probe, burn‑in, assembly test, and manufacturing test methodologies.
• Apply Artificial Intelligence, machine learning, and data analytics techniques to practical engineering challenges.
• Develop software engineering skills in workflow automation, data processing, visualization, and reusable code development.
• Collaborate with cross-functional teams in Product Engineering, Manufacturing, Quality, and Data Science.

Deliverables

• An automated engineering workflow or software solution with documented methodology and potential business impact.
• A data analytics dashboard and reporting framework for selected test engineering use cases.
• Technical documentation covering the solution architecture, data requirements, validation results, and limitations.
• Recommendations for improving test effectiveness, product quality, or engineering productivity.
• A final project presentation summarizing the approach, findings, recommendations, and potential impact.

Impact of the Project

• Reduce engineering cycle time and manual effort through selected automation opportunities.
• Improve test-quality monitoring and the speed of engineering analysis.
• Enable scalable Artificial Intelligence-enabled engineering workflows.
• Contribute to productivity, test effectiveness, and cost-reduction initiatives within Non-Volatile Memory Test Engineering.

Skillsets Required

• Strong analytical, problem-solving, and structured‑thinking skills.
• Familiarity with Python, C, C++, Java, Structured Query Language, or other relevant programming languages.
• Understanding of statistics, algorithms, data structures, and software development fundamentals.
• Familiarity with data analytics, machine learning, Artificial Intelligence tools, or AI-enabled workflows.
• Ability to work independently on a defined project while collaborating effectively with engineering teams.

Preferred Qualifications

• Experience using Python libraries such as Pandas and NumPy, or relevant data visualization tools.
• Familiarity with Git, software development practices, automated testing, or continuous integration and continuous delivery workflows.
• Knowledge of semiconductor devices, memory technologies, manufacturing processes, or test engineering concepts.
• Experience using AI Assistants, AI-enabled productivity tools, or software automation platforms.

Course of Interest

The ideal candidate should be pursuing a Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, Data Science, Artificial Intelligence, Semiconductor Engineering, Mechatronics Engineering, Applied Mathematics, or a related field.

Duration of Period

The ideal candidate should be able to commit to a full time internship period of 4 to 6 months.

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.

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.