Intel Foundry Lithography Module Development Engineer

Job Description

Embark with us on a journey of growth and transformation as we create exceptionally engineered technology and bring AI everywhere. As a valued team member, your adaptability and attention to detail will contribute to our drive for results and relentless pursuit of quality, ensuring we meet our customers' needs with precision.

Join us and build on our legacy of innovation and collaboration as we deliver world‑changing technology that improves the life of every person on the planet.

Life at Intel: en/life-at-intel

Join Intel-and build a better tomorrow. Intel is in the midst of an exciting transformation, with a vision to create and extend computing technology to connect and enrich the lives of every person on Earth. So, join us and help us create the next generation of technologies that will shape the future for decades to come. Intel Foundry Technology and Development (TD) team is looking for an engineer for the Lithography team.

TD Lithography Module Engineers are responsible for the development and execution of current and next generation Lithography manufacturing processes. They enable manufacture of innovative device architectures, demonstrate manufacturing viability of complex novel processes, and execute the high-volume lines that manufacture revenue product.

In this role job responsibilities will include but will not be limited to:

• Design and execute experiments and analyze data necessary to develop processes that meet engineering specifications for manufacturing that include safety protocols, automation, facility and supply chain in addition to device performance and yield.
• Participate in development of intellectual property that enables novel transistor and interconnect architecture, working with integrated module partners to create and realize novel process flows.
• Lithography engineers work with industry partners and equipment suppliers to develop and implement equipment, identify equipment capability shortcomings, propose and evaluate hardware modification to mitigate issues, and implement preventative maintenance needed for stable process lines.
• Install and qualify High Volume Manufacturing (HVM) capacity at the TD site during insitu ramp to HVM volumes and operate the manufacturing line in the manufacturing of revenue product.
• Participate in the transfer of technology to other Intel factories via the Copy Exactly methodology through training and audit of installation/qualification to ensure matched processing across sites.

What we offer: 

• We give you opportunities to transform technology and create a better future, by delivering products that touch the lives of every person on earth. 
• As a global leader in innovation and new technology, we foster a collaborative, supportive, and exciting environment where the brightest minds in the world come together to achieve exceptional results. 
• We offer a competitive salary and financial benefits such as bonuses, life and disability insurance, opportunities to buy Intel stock at a discounted rate, and Intel stock awards (eligibility at the discretion of Intel Corporation). 
• We provide benefits that promote a healthy, enjoyable life: excellent medical plans, wellness programs, and amenities, time off, recreational activities, discounts on various products and services, and much more creative perks that make Intel a Great Place to Work. We're constantly working on making a more connected and intelligent future, and we need your help. Change tomorrow. Start today.

This is an entry level position and will be compensated accordingly.

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 Experience listed below would be obtained through a combination of your schoolwork, classes, research and/or relevant previous job and/or internship experiences.

Minimum Qualifications:

• You must possess a PhD degree in Chemistry, Physics, Material Science, Chemical Engineering, Nuclear Engineering, Electrical Engineering, Mechanical Engineering, or other science or engineering fields of study that include relevant experimental work. Must have the required degree or expect the required degree within one year of application.
• 2+ years of experimental lab work experience

Preferred Qualifications: 

• 6+ months of academic or other experience in equipment or instrumentation troubleshooting, development and maintenance.
• Familiarity with common ML/AI frameworks, model development, training, testing, and deployment workflows to solve technical problems.
• Experience in C# or Python

We invite you to bring your skills, ideas, and aspirations to Intel, where you will find the perfect environment to grow and make an impact. Apply today to become part of a team that shapes the future of workplace and real estate services. Join us in advancing memory systems technology and delivering innovative solutions that will shape the future of computing.

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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.

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.

Annual Salary Range for jobs which could be performed in the US $127,400.00-$179,900.00
*Salary range dependent on a number of factors including location and experience

Working Model

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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