Intern - F10 QEM Product Quality Engineering Yield Data Analytics

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.

• Develop an automated method that improves the efficiency, accuracy, and consistency of low-yield data analysis.

• Build an understanding of semiconductor memory functionality, test strategy, test methodology, and lot-disposition processes.

• Apply programming, analytics, and AI-Assisted tools to a defined engineering problem.

• Evaluate the developed solution against agreed technical and project objectives.
   

• Learn the overall test strategy, test operations, and manufacturing processes used in semiconductor memory testing.

• Become familiar with the systems, applications, hardware, and data flows used within the test manufacturing environment.

• Study test methodology and lot-disposition processes used for low-yield analysis.

• Develop and evaluate an AI-Enabled automation solution that improves data-analysis efficiency and accuracy.
   

• Gain practical exposure to semiconductor memory devices, product testing, yield analysis, and test manufacturing processes.

• Learn how engineering systems and applications are used to investigate low-yield conditions and inform lot-disposition decisions.

• Develop experience in programming, data analytics, visualization, workflow automation, and AI-Assisted engineering analysis.

• Collaborate with cross-functional engineering teams and subject matter experts throughout the project lifecycle.
   

• A documented analysis of the selected low-yield analysis workflow, including requirements, data inputs, process gaps, and improvement opportunities.

• A functional automation or analytics solution that improves the efficiency and accuracy of the selected analysis process.

• Validation results comparing the existing and proposed analytical approaches, including identified limitations and recommendations.

• A final project report and presentation covering the problem statement, methodology, solution, results, learning outcomes, and potential future enhancements
   

• Improve the efficiency, accuracy, and consistency of engineering data analysis.

• Enable clearer identification and investigation of low-yield conditions.

• Strengthen data-informed engineering decision-making through automation and visualization.

• Contribute analytical insights relevant to next-generation storage applications used in data centres.
   

• Familiarity with programming, scripting, or analytics tools such as Python, Perl, Tableau, Microsoft Power BI, or equivalent platforms.

• Strong analytical, structured problem-solving, data-interpretation, and time-management skills.

• Effective written and verbal communication skills, with the ability to document and present technical findings.

• Familiarity with Artificial Intelligence tools, AI Assistants, machine learning, or AI-Enabled workflows, with sound judgement regarding organizational and legal requirements.

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.

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