Micron Technology Logo

Micron Technology

Principal/Senior Product Engineer - NVEG (Adv Analytics)

Posted 4 Hours Ago
Be an Early Applicant
Singapore
Mid level
Singapore
Mid level
The Principal/Senior Product Engineer will analyze data for reliability testing, collaborate with teams for root cause analysis, and develop algorithms for quality improvement in semiconductors.
The summary above was generated by AI

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.

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.

Requirements:

  • Bachelor's/Master's in Electrical/Electronic Engineering, Computer Engineering, Computer Science, Data Science.

  • 3-5 years Data Analytics experience.

  • 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.

Top Skills

Data Analytics
Deep Learning
Machine Learning

Micron Technology Singapore Office

1 Woodlands Ind Park D St 1, Singapore, 738799

Similar Jobs

3 Days Ago
Hybrid
Singapore, SGP
Mid level
Mid level
Fintech • Financial Services
The Senior Data Analyst will manage datasets for traders, ensuring data accuracy, conducting analyses, and collaborating with various teams on data quality improvement.
Top Skills: AirflowArgoBloomberg TerminalGitHdf5Jupyter NotebooksPandasParquetPysparkPythonRequestsSQL
5 Days Ago
Hybrid
Singapore, SGP
Entry level
Entry level
Enterprise Web • Fintech • Financial Services
Assist equity analysts in healthcare and financial sectors with valuation models, research reports, and analysis of stocks. Help produce research output and monitor industry information.
Top Skills: ChartsFinancial ModelingResearch ReportsTablesValuation Models
5 Days Ago
Hybrid
Singapore, SGP
Senior level
Senior level
Enterprise Web • Fintech • Financial Services
The Equity Analyst will perform fundamental analysis, build valuation models, write research reports, and pitch investment ideas while communicating in English and Japanese.
Top Skills: Discounted Cash FlowFundamental AnalysisValuation Models

What you need to know about the Singapore Tech Scene

The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account