Job Description

Job Details::Intelxe2x80x99s Yield team is responsible for improving products' yields in products' development phase, as well as in mass production.To optimize yields the team uses advanced tools to analyze big data, find signals and define debug activities to resolve issues.The team is looking for an experienced and motivated engineer to build a system that supports the Yield improvement activities.Qualifications:CGPA 3.4/8.5/85% and aboveThe candidate must have a Bachelor's degree in Electrical Computer Engineering Computer Science or a closely related field of study and 2+ years of experience OR a Master's degree in Electrical Computer Engineering Computer Science or a closely related field of study and 2+ years of experienceHighly skilled and motivated Software Engineer with at least 2 years of experience with codingExperience in working on a software project as part of a software teamExperience in Python and PandasSelf-learnerExcellent interpersonal relationshipExperience in Machine LearningExperience in databases and data engineeringUnderstanding of data analysis conceptsJob Type: Experienced HireShift: Shift 1 (Malaysia)Primary Location: Malaysia, PenangAdditional Locations: India, BangaloreBusiness group: Manufacturing and Product Engineering (MPE) is responsible for test development across product segments, supporting 95% of Intel's revenue. We deliver comprehensive pre-production test suites and component/physical debug capabilities to enable high quality, high volume manufacturing.Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of Trust N/AWork Model for this Role This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

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