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Singapore, 01, SG

Req. ID: 243863 

The growing demands of mobile computing and data centers continue to drive the need for high-capacity, high-performance NAND flash technology. Micron provides the solution with introduction of 3D NAND technology, which uses an innovative process architecture to provide 3X the capacity of planar NAND technologies while providing better performance and reliability. As a Non-Volatile Engineering (NVEG) Product Engineer (Adv Analytics), you will have the opportunity to learn about the functionality and operation of NAND flash products and gain understanding and insights into statistical data analytical modeling and advanced algorithms for yield and quality improvement.


Responsibilities include, but not limited to:

  • Responsible for in-depth data analysis to look for sighting that is detected from reliability testing on certain cell marginality.
  • To work closely with cross functional team to drive for cause, cell mechanism understandings and mitigation plan (device and process) when sightings of cell marginality are noted.
  • Look into volume reliability data to probe data correlation to look for signals for cell metrics/kill limit recommendation to guard band intrinsic reliability capability.
  • Enable proactive methodology for cell reliability analytic study on both die and wafer level assessment using advanced  product-dispo techniques.
  • Develop state-of-art and advanced algorithms, encompassing advanced models to boost and enhance data-mining and pattern recognition for quality and yield improvement.
  • Work with Product/Fab/Engineering teams on product issues (yield/cell reliability/qualification/defectivity/RMA/deviations) in problem analysis, data-mining and modeling, to provide optimal disposition solution.
  • Implement and validate product-dispo solution with minimal yield impact and to track effectiveness of solutions.
  • Develop understanding of test flows and product-dispo framework and make use of big Data to highlight strength and weaknesses in production process and improve quality of material produced with lower cost and faster cycle time


Minimum Qualifications:

  • Bachelor's/Master's in Electrical/Electronic Engineering, Computer Engineering, Computer Science, Data Science.
  • Strong drive and excellent written and verbal communication skills, including ability to effectively communicate complex technical ideas/concepts.
  • Knowledge of Machine Learning/Deep Learning methodology will be an added advantage.
  • Strong analytical and problem-solving skills, with the ability to find creative solutions to difficult problems
  • Effective communication skills in written and spoken English
  • Good multitasking skills and ability to set priorities in a fast moving, dynamic environment
  • Self-motivation and enthusiasm



We recruit, hire, train, promote, discipline and provide other conditions of employment without regard to a person's race, color, religion, sex, age, national origin, disability, sexual orientation, gender identity and expression, pregnancy, veteran’s status, or other classifications protected under law.  This includes providing reasonable accommodation for team members' disabilities or religious beliefs and practices.

Each manager, supervisor and team member is responsible for carrying out this policy. The EEO Administrator in Human Resources is responsible for administration of this policy. The administrator will monitor compliance and is available to answer any questions on EEO matters.

To request assistance with the application process, please contact Micron’s Human Resources Department at 1-800-336-8918 (or 208-368-4748).

Keywords:  Singapore || Central Singapore (SG-01) || Singapore (SG) || NVE (Non-Volatile Engineering Group) || College || Regular || Engineering || #LI-KL1 ||

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