Job Details:

Job Description: 

• Performs feasibility studies and provides integrated process solutions to meet desired safety, quality, reliability and output requirements for ultimate transfer to high volume manufacturing.

• Selects and develops material and equipment for the process to meet quality, reliability, cost, yield, productivity and manufacturability requirements.

• Plans and conducts experiments to fully characterize the process throughout the development cycle and to improve performance for each specific product.

• Identifies integrated process solutions to resolve issues or specific requests from customers by partnering with innovators in product engineering and module engineering teams.

• Conducts new product qualification and technology transfers from fabrication operations.

• Leverages big data analysis to identify process design weaknesses and/or manufacturing tool issues and proposes corrective, databased solutions.

• Collaborates and engages with development and material suppliers, and partners to develop processes and equipment needs to meet technology roadmaps.

Qualifications:

You must possess the below minimum qualifications to be initially considered for this position.

Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications:

• Bachelor's Degree in Electrical Engineering, Physics, Chemistry, Materials Science or in a STEM related Field.

• 9+ years of experience in advanced node semiconductor industry in BEOL Process Integration.

• 9+ years of experience with Device Physics and backend critical parameter control.

• 9+ years of experience with processes including lithography, dry etch, wet etch, CMP, diffusion, implant, thin films and metrology.

• Availability for at least 4 days on-site.

Preferred Qualifications:

• Experience in SADP/SAQP, advanced metallization, and/or immersion lithography/EUV).

• Advanced (Masters or PhD) degree in Electrical Engineering, Physics, Chemistry, Materials Science or in a STEM related Field.

• Experience in project/program management and/or Task Force Team lead.

• Experience in leveraging big data analysis to identify process design weaknesses and/or manufacturing weaknesses in order to propose corrective, data-based solutions.

• Experience with extracting insights from structured and unstructured data by quickly synthesizing large volumes of data and applying statistics and machine learning.

• Experience in new semiconductor technology development.

• Experience in serving external Foundry customers through technical interactions.

• Experience in latest lithography and metallization device architectures.

• Experience in Statistics and machine learning preferred.

• Previous related work experience in a semiconductor foundry preferred

          

Job Type:

Experienced Hire

Shift:

Shift 1 (Ireland)

Primary Location: 

Ireland, Leixlip

Additional Locations:

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.  Employees in the Technology Development and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth.

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/A

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.