ENGINEER, NVEG PRODUCT ENGINEERING (ADV ANALYTICS)

Posted:
5/1/2024, 5:00:00 PM

Location(s):
Singapore, Singapore

Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior

Field(s):
AI & Machine Learning

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.

JR53741 ENGINEER, NVEG PRODUCT ENGINEERING (ADV ANALYTICS)

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 guardband intrinsic reliability capability.
  • Enable proactive methodology for cell reliability analytic study on both die and wafer level assessment using advanced  product-dispo techniques.
  • Enable proactive methodology for defectivity (DPM) reduction at wafer level 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/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

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 [email protected]

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.

Micron Technology

Website: https://micron.com/

Headquarter Location: Boise, Idaho, United States

Employee Count: 10001+

Year Founded: 1978

IPO Status: Public

Last Funding Type: Post-IPO Equity

Industries: Computer ⋅ Hardware ⋅ Manufacturing ⋅ Semiconductor