Intel Foundry Module Development Engineer - Advanced Lithography

Job Details

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:  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.

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.

Minimum Qualifications:

• Ph.D. in Chemistry, Physics, Materials Science & Engineering, Chemical Engineering, Electrical Engineering, Mechanical Engineering, Nuclear Engineering, or a related scientific/engineering discipline. (Must currently hold a PhD or anticipate graduation/completion within 12 months of application).
• 2+ years of hands‑on experimental research experience (e.g., doctoral thesis research, laboratory instrumentation, advanced material characterization, optics, plasma, or thin‑film processing).

Preferred Qualifications (A Plus, not a Requirement):

• Hands‑on experience with equipment/instrumentation design, vacuum/optical systems, precision tooling, or experimental hardware troubleshooting.
• Practical knowledge of applying Python, C#, or ML/AI frameworks to scientific computing, automated data acquisition, or process optimization.
• Proven track record of scientific…