Module Development Engineer (Ph.D.) - Intel Foundry

Intel Logic Technology Development (LTD) designs and scales the advanced semiconductor process technologies that power future generations of Intel architecture.

, you will drive the development, optimization, characterization, and high-volume manufacturing (HVM) transfer of leading-edge semiconductor processes. •

Lithography, Overlay, Wet Etch, Dry/Plasma Etch, Chemical Mechanical Planarization (CMP). •

Epitaxy (EPI), Thin-Film Deposition (ALD/CVD/PVD), Diffusion, Ion Implantation, Metals/Metallization, Dielectrics. •

In-line Metrology, FEOL/BEOL Process Integration, Defect Reduction, Yield Analysis, Electrical Characterization.

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Design, execute, and optimize experimental runs to advance semiconductor processes, equipment hardware, and new material capabilities. •

Apply statistical modeling, Design of Experiments (DOE), and control systems (SPC, APC, Run-to-Run) to reduce variability, mitigate defects, and drive yield enhancement. •

Partner with external tool/material suppliers and internal integration teams to co-develop cutting-edge equipment and process methodologies. •

Resolve equipment, process, and yield excursion root causes to ensure smooth, robust technology transfer from development into high-volume manufacturing. •

Document experimental findings, operating procedures, and technical recommendations through engineering reports and presentations.

Candidates must meet the following criteria (relevant experience may be gained through academic coursework, laboratory research, thesis work, internships, post doc, or publications):

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Ph.D. in Electrical Engineering, Chemical Engineering, Materials Science & Engineering, Physics, Mechanical, Chemistry, or a related STEM field (expected completion prior to start date). •

6+ months of experience with semiconductor fabrication, process development, device research, materials research, or related semiconductor technology, including one or more of the following: lithography (Litho)/overlay, epitaxy (EPI), wet etch, dry etch, thin-film deposition, diffusion, ion implantation, CMP/planarization, metals/metallization, dielectrics, metrology, process integration, yield, or electrical characterization.

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6+ months in a cleanroom or semiconductor research lab working directly with fabrication or analytical instrumentation (e.g., ALD, CVD, PVD, plasma etch, CD-SEM, TEM, AFM, spectroscopic ellipsometry). •

6+ months utilizing statistical methodologies (DOE, SPC) and engineering software/scripting languages (Python, MATLAB, JMP, C#, or equivalents) for data analysis and automation. •

Academic or research specialization in transistor architecture, advanced semiconductor materials, or FEOL/BEOL process integration. •

Proven track record of presenting technical findings through dissertations, peer-reviewed publications, conference proceedings, patents, or white papers. By applying to this posting your resume and profile will become visible to Intel Recruiters and will allow them to consider you for current and future job openings aligned with the skills and positions mentioned above.

Shift 1 (United States of America)

US, Oregon, Hillsboro

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

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel . Annual Salary Range for jobs which could be performed in the US: $133,800.00-188,890.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.