Nti Yield Analysis Engineer

Singapore, Singapore

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. JR56196 NTI Yield Analysis EngineerYour responsibilities will include, but are not limited to, the following:

  • Discover yield issues in NAND development and identify unique metric or combination of metrics, such as wafer/dice/tile shading, ECATS or other custom metric for issues quantification.
  • Interact with process area, process integration, yield, failure analysis, product engineering, design, and layout teams to drive clear definition of yield, cell, CMOS, qual, and reliability issues and pareto and derive improvement actions needed across tech-nodes and designs.
  • Own and drive non-standard deep dive statistical analysis of inline, probe, cell, and other critical metrics to define issues/problems, enable early inline detection, and improve the product yield and quality. Quantify and track progress on the issue hit hate, line impact, gap to program goal. Quantify yield improvement/downside seen based on process/probe changes.
  • Initiate data mining and correlation study on new issue seen. Initiate PFA request to identify root cause of yield issue. Perform inline correlation study to establish inline prediction to yield issue. Make yield projections based on expected improvement/downside. Conduct yield trend analysis, identify root causes in process step, conversion, algorithm change, and design, for yield shift.
  • Continuously develop/re-define inline detection in collaboration with metrology and RDA team.
  • Identify and define gaps with current test and co-develop (with product, probe, param engineering) unique parametric/probe bins to detect new fail modes as well as validate new program release.
  • Collaborate with module owners to identify, quantify key module deficiencies/technology gaps, and drive cross-functional teams to address. Optimize existing layout, conceptualize, and develop innovative solutions to meet product requirements and manufacturability.
  • Develop and innovate techniques in extracting data from different databases through various query languages and automate through scripting to improve work efficiency.
  • Assist and support the transfer documentation of layout/architecture fundamentals of new technology from R&D to manufacturing fab.
Successful candidates for this position will have:
  • Minimum of 3-5 years of experience in the semiconductor industry in the areas of Process Integration, Yield Enhancement, Failure Analysis, Data Science, or Unit Process.
  • Ability to develop a strong holistic end to end understanding of PI module on new NAND technologies and related structural & electrical fail mechanisms.
  • In-depth knowledge and direct experience with nonvolatile memories along with good understanding of the process flow, interaction of process & device, common yield & reliability issues are desirable.
  • Curiosity and natural tendency of learning new things independently.
  • Exposure to R&D and transfer/manufacturing is desirable.
  • Deep understanding of layout and architecture of NAND product.
  • Deep understanding of probe failure mechanism, ability to do electrical bench data collection is desirable.
  • Fluency in Python, JavaScript, C or C++ is desirable.
  • Ability to be self-motivated and self-governing with proven ability to work in a demanding and dynamic environment.
  • Ability to drive and coordinate cross-functional teams to achieve various goals.
  • Solid analysis, communication and reporting abilities with demonstrated presentation abilities.
  • Ability to travel for extended periods of time to the US or other fabs for collaborative R&D work.
Education:BS, MS/PhD in Electrical Engineering, Microelectronics, Data Science, Computer Science or related field.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\xc2\xae and Crucial\xc2\xae brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities \xe2\x80\x94 from the data center to the intelligent edge and across the client and mobile user experience.To learn more, please visit micron.com/careersAll 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 contactMicron 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.

Micron

Beware of fraud agents! do not pay money to get a job

MNCJobz.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.


Job Detail

  • Job Id
    JD1429720
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Singapore, Singapore
  • Education
    Not mentioned