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Intern- PIE RAM; Agentic AI Posted ago

Job in Singapore, Singapore
Listing for: Micron Technology, Inc.
Full Time, Part Time, Apprenticeship/Internship position
Listed on 2026-10-08
Job specializations:
  • Engineering
    AI Engineer (Applied/Software), Quality Engineering
Salary/Wage Range or Industry Benchmark: 13000 SGD Monthly SGD 13000.00 MONTH
Job Description & How to Apply Below
Position: Intern- PIE RAM (Agentic AI  Posted 13 hours ago
## Intern- PIE RAM (Agentic AI)
Singapore, Singapore Apply Now Find out how well you match with this jobJob :
JR112779
** 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
* * North Coast, Singapore (F10N)
** Department
* * Product Integration Engineering – Real Time Defect Analysis and Metrology (RAM)
** Project Title
** AI-Enabled Metrology Data Analytics for Workstation Conversion
** Project Description
** Advanced metrology measurement techniques are utilized in leading-edge semiconductor manufacturing processes s project focuses on applying data analytics methods to evaluate and enhance metrology workstation conversion, with the objective of improving process efficiency and measurement capability. The intern will analyze metrology data, understand manufacturing process considerations, and develop data-driven insights to evaluate workstation conversion outcomes.

Through this project, the intern will gain exposure to AI-enabled analytical tools and data-driven problem-solving approaches that support engineering decision-making and productivity improvement. The experience provides foundational knowledge in metrology, process integration, and semiconductor manufacturing, helping to build readiness for future opportunities in metrology equipment and application engineering
** Objective of the Project
*** Evaluate metrology workstation conversion performance using data analytics approaches.
* Identify process capability and efficiency trade-offs associated with workstation conversion.
* Explore AI-enabled methods to enhance data analysis efficiency and insight generation.
* Contribute to successful workstation conversion through data-driven recommendations.
** Opportunities for Full Time Employment
** High-performing interns may be considered for future internship or entry-level engineering opportunities, subject to business needs and hiring requirements.  
** Project Scope
*** Learn fundamental metrology measurement principles and their applications in semiconductor manufacturing.
* Partner with cross-functional engineering teams to understand workstation conversion requirements and evaluation criteria.
* Analyze metrology datasets to assess process performance and measurement capability.
* Investigate opportunities to leverage AI-assisted analytics to improve insight generation and decision-making.
* Present findings and recommendations based on data analysis outcomes.
** Learning Opportunities
*** Gain practical experience with advanced metrology technologies and manufacturing applications.
* Develop data analytics and problem-solving skills within a semiconductor production environment.
* Learn how engineering teams evaluate process capability, measurement performance, and conversion effectiveness.
* Build familiarity with AI-enabled analytical workflows and engineering data interpretation techniques.
** Deliverables
* ** Complete analysis of workstation conversion performance using relevant metrology datasets.
* Provide data-driven recommendations related to process efficiency and measurement capability.
* Document key findings, methodologies, and conclusions.
* Successfully contribute to the implementation and evaluation of workstation conversion activities.
** Impact of the Project
*** Support informed decision-making during workstation conversion…
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