Yield Analysis (YA) Engineer - Foundry
Job Details:
Job Description:
Fab Sort Manufacturing is responsible for the production of all Intel silicon using some of the world's most advanced manufacturing processes in Arizona, Ireland, Israel, Oregon and a new greenfield site in Ohio.
In line with Intel's Integrated Device Manufacturer 2.0 strategy, Fab Sort Manufacturing is rapidly expanding its operation to deliver output for both internal and foundry customers with state-of-the-art technologies arriving in high-volume manufacturing at a 2-year cadence going forward.
Intel has created a High-Volume Manufacturing Global Yield organization in Fab Sort Manufacturing to strengthen yield operations and enable fast-paced yield ramp-up in early HVM phases for each technology in collaboration with Technology Development team and fab managers.
This job requisition seeks Yield Analysis engineers for our Fab Sort Manufacturing / HVM Global Yield organization, reporting to the YA team manager.
Responsibilities include:
* Leading engineering projects involving large-scale data analysis and machine learning to support HVM yield roadmap, device targeting and performance targets.
* Collaborating with Program Managers, Process Integration, Device and Defect Reduction team members to identify root causes of systematic yield/performance issues and propose mitigation plans within defined timelines to meet committed production yield/performance targets and support fast-paced yield ramp-up in high-volume manufacturing phases.
* Working with Yield Modeling team to develop new yield analysis methods and algorithms to deliver world-class yield analytics.
* Formulating yield problems mathematically, identifying solutions, and removing technical barriers to achieve successful solutions.
* Providing yield analysis for various engineering projects to improve quality, performance, and reduce wafer cost.
* Engineering support for technical interactions with internal and external customers.
Candidates should possess the following behavioral skills:
* A problem-solving technique with strong self-initiative and self-learning capabilities.
* Ability to work with multi-functional, multi-cultural teams.
* Demonstrated solid communication skills.
Qualifications:
Minimum Qualifications:
* Bachelor's degree in one of the following disciplines: Electrical/Electronic Engineering, Physics, Chemistry, Materials Science, or in a related major.
* Experience in python and other program languages to develop new analysis methods and algorithms using large amounts of fab data.
* Experience in big data analysis and machine learning.
* Experience in advanced node semiconductor high-volume manufacturing.
* Experience with Device Physics and overall FinFET process flow.
Preferred Qualifications:
* Advanced degree (Master's or Ph.D.) in one of the following disciplines: Electrical/Electronic Engineering, Physics, Chemistry, Materials Science, or in a related major.
* 2+ years of experience in advanced node semiconductor industry in yield analysis and data science.
* Work experience in TFT environment.
* Experience in new semiconductor technology development.
* Experience in module processes including lithography, dry etch, wet etch, CMP, diffusion, implant, thin films, and process integration.
* Previous related work experience in a semiconductor foundry is preferred.
Job Type:
Experienced Hire
Shift:
Shift 1 (Ireland)
Primary Location:
Ireland, Leixlip
Business Group:
As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world-class Supply Chain and facilities support.
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.
Work 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.