Intern - Vertical Product Engineer (VPE)

micron; Marigot; On-site; EUR 9,300 - 14,000; Full time

Job summary

Micron Singapore offers an opportunity for a full-time internship in Product Engineering, focusing on NAND Flash, high-speed memory, and SSDs. You will work under experienced engineers to analyze yield, test coverage, and failure analysis, and may develop AI-enabled analytics solutions to streamline engineering workflows.

The project spans product development, qualification, and manufacturing ramp, with deliverables including analyses, simulations, and prototype automation tools.

Qualifications

• Pursuing degree in Electrical/Electronic/Computer Engineering or related field.
• Familiarity with circuit simulation and testing is advantageous.
• Programming/analytics with Python, SQL, Power BI, Tableau is advantageous.

Responsibilities

• Analyze test results, yield data, and electrical measurements to identify improvement opportunities.
• Conduct circuit simulations, engineering yield evaluations, or electrical failure analyses.
• Develop or enhance test coverage, data-analysis scripts, or automated reporting for the use case.

Skills

Circuit fundamentals

Memory technology

Data analytics

Python

Education

Pursuing degree in Electrical/Electronic/Computer Engineering or related

Tools

Power BI

Tableau

SQL

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

990 Bendemeer Road, Singapore 339942

Department

Storage Technology and Products Group Product Engineering, System and Solid-State Drive

Project Title

Product Yield, Test Coverage, and Failure Analysis Improvement

Project Description

Micron’s Product Engineering organization develops and qualifies memory and storage products that meet high standards of quality, performance, and reliability.

The intern will undertake a structured engineering project involving NAND Flash, high-speed memory products, and solid-state drives. Under the guidance of experienced engineers, the intern will gain exposure to product development, qualification, manufacturing ramp, testing, product characterization, yield analysis, and electrical failure analysis.

The intern will collaborate with engineers and cross-functional stakeholders on an assigned product engineering challenge. The project may also include the development of an AI-Enabled analytical or automation solution to improve selected engineering workflows.

Objective of the Project

• Develop an understanding of NAND Flash, high-speed memory, and solid-state drive product engineering.
• Evaluate test coverage and engineering data to identify yield, quality, or test-efficiency improvement opportunities.
• Apply circuit simulation, electrical failure analysis, and data-analysis techniques to a defined engineering problem.
• Develop a technical recommendation or prototype solution that improves a selected product engineering workflow.
  

Opportunities for Full Time Employment

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

Project Scope

• Study an assigned NAND Flash, high-speed memory, or solid-state drive product and document its test, qualification, and characterization requirements.
• Analyze selected test results, yield data, or electrical measurements to identify trends, anomalies, and potential improvement opportunities.
• Conduct defined circuit simulations, engineering yield evaluations, or electrical failure analyses under the guidance of experienced engineers.
• Develop or enhance test coverage, screening methods, data-analysis scripts, or automated reporting for the assigned use case.
• Explore an AI-Enabled workflow for engineering triage, anomaly detection, knowledge retrieval, or test-result analysis.
  

Learning Opportunities

• Gain practical exposure to product development, qualification, manufacturing ramp, product characterization, and yield improvement.
• Learn component-level and system-level testing, debugging, circuit simulation, and electrical failure-analysis methodologies.
• Develop experience with engineering data analytics, test-flow architecture, and characterization equipment.
• Learn how automation, Generative AI, AI Assistants, and large language models can be applied responsibly within product engineering workflows.
  

Deliverables

• A documented analysis of the assigned test-coverage, yield, qualification, or failure-analysis challenge.
• Circuit simulation results, electrical characterization findings, or test-coverage recommendations for the selected use case.
• A prototype analytical script, dashboard, automation workflow, or AI-Enabled solution.
• A final technical report and presentation describing the methodology, results, limitations, and recommendations.
  

Impact of the Project

• Improve understanding of selected product yield, test coverage, qualification results, or failure mechanisms.
• Identify opportunities to improve product quality, test efficiency, or engineering decision-making.
• Demonstrate the potential value of data analytics, automation, or AI-Enabled workflows in product engineering.
  

Skillsets Required

• Understanding of complementary metal-oxide-semiconductor device physics, circuit fundamentals, memory technology, or solid-state drive architecture.
• Familiarity with circuit simulation, computer-aided design tools, test-flow architecture, component-level testing, or system-level testing.
• Programming or analytics experience using Python, Structured Query Language, Power BI, Tableau, or similar tools is advantageous.
• Familiarity with Machine Learning, Generative AI, large language models, AI Assistants, or AI-Enabled workflows is advantageous.
• Strong analytical, problem-solving, written communication, verbal communication, and collaboration skills.
  

Course of Interest

The ideal candidate should be pursuing a degree or equivalent qualification in Electrical Engineering, Electronic Engineering, Computer Engineering, Microelectronics, Data Science, or a related engineering discipline.

Duration of Period

The ideal candidate should be able to commit to a full-time internship period of 5 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.

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.