PRODUCT ENGINEER (DATA ANALYTICS)

Req. ID: 140812 

Job Responsibilities:

• To enable proactive methodology for defectivity (DPM) reduction at wafer level using advanced Machine Learning/Deep Learning product-dispo techniques.
• To develop state-of-art and advanced algorithms, encompassing Machine Learning and Deep Learning models to boost and enhance data-mining and pattern recognition for quality and yield improvement.
• To 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.
• To implement and validate product-dispo solution with minimal yield impact and to track effectiveness of solutions.
• To 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.
• 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

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 ||