The Role and Impact:
As a Module Equipment Development Engineer, you will lead the development and optimization of advanced semiconductor manufacturing equipment and processes, enabling Intel to deliver high-performance devices. Your contributions will directly impact Intel's technological leadership in the semiconductor industry and advance the capabilities of future technologies.
Business Group:
Intel Foundry Technology Development is focused on advancing semiconductor process engineering and delivering world-class manufacturing solutions that power Intel's product innovation. Working within this group, you will collaborate with global teams to develop cutting-edge technologies that enable the design and production of leading-edge devices, helping Intel maintain its leadership in a competitive and fast-paced market.
Key Responsibilities:
- Develop Equipment capable of delivering on new process requirements in Dielectrics Thin Films.
- Develop robust Equipment modules that can be transferred seamlessly to high volume manufacturing.
- Collaborate with equipment and material suppliers to evaluate, qualify, and implement novel technologies into manufacturing processes
- Support technology transfer to high-volume manufacturing through training, audits, and maintaining process consistency across sites
- Design, execute, and analyze experiments to optimize advanced manufacturing processes, including material selection, equipment metrology, and parameter tuning
- Perform feasibility studies and pathfinding activities to support innovative device architectures and future technology roadmaps
- Utilize advanced data analysis methods, including Statistical Process Control (SPC) and Design of Experiments (DOE), to guide process improvements and enhance yield
- Partner with cross-functional teams to ensure seamless process integration and manufacturability
Minimum qualifications are required 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. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
Minimum Qualifications:
- Bachelor's degree in Materials Science, Chemical Engineering, Physics, Chemistry, Electrical Engineering, or related STEM field, with 4+ years of industry experience in semiconductor processing
OR
- Master's degree in relevant STEM fields with 3+ years of domain-specific experience
OR
- PhD in Materials Science, Chemical Engineering, Physics, Chemistry, or related STEM field with 6+ months experience in semiconductor processing
Industry experience in semiconductor processing/domain-specific experience includes one of more of the following:
- Proficiency in semiconductor processing techniques such as lithography, etching, thin film deposition, or planarization
- Expertise in process characterization methods and statistical analysis tools, such as JMP, MATLAB, or Python
- Familiarity with materials characterization techniques like SEM, TEM, XPS, or ellipsometry
Preferred Qualifications:
- Hands-on experience working with equipment troubleshooting, maintenance, or development in collaboration with suppliers
- Experience at a Semiconductor manufacturing tool supplier.
- Knowledge of manufacturing technologies including vacuum processes, ALD, or CVD
- Strong problem-solving skills with the ability to manage multiple tasks in a fast-paced environment
- Collaborative mindset with a proven track record of working across interdisciplinary teams to achieve shared goals
For information on Intel’s immigration sponsorship guidelines, please see Intel U.S. Immigration Sponsorship Information
Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Oregon, HillsboroAdditional Locations: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 TrustN/ABenefits
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: $115,110.00-219,550.00 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.
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.*
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.Skills Required
- Bachelor's degree in Materials Science, Chemical Engineering, Physics, Chemistry, Electrical Engineering, or a related STEM field, plus 4 or more years of semiconductor processing industry experience
- Master's degree in a relevant STEM field, plus 3 or more years of domain-specific experience
- PhD in Materials Science, Chemical Engineering, Physics, Chemistry, or a related STEM field, plus 6 or more months of semiconductor processing experience
- Proficiency in semiconductor processing techniques such as lithography, etching, thin-film deposition, or planarization
- Expertise in process characterization and statistical analysis tools such as JMP, MATLAB, or Python
- Familiarity with materials characterization techniques such as SEM, TEM, XPS, or ellipsometry
- Hands-on experience with equipment troubleshooting, maintenance, or development in collaboration with suppliers
- Experience at a semiconductor manufacturing tool supplier
- Knowledge of vacuum processes, ALD, or CVD manufacturing technologies
- Strong problem-solving skills and ability to manage multiple tasks in a fast-paced environment
- Collaborative experience working across interdisciplinary teams
Intel Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Intel and has not been reviewed or approved by Intel.
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Leave & Time Off Breadth — Sabbaticals and paid time off are highlighted as signature elements, with an established program offering four weeks after four years or eight weeks after seven years. This distinctive time off is positioned as a meaningful part of the overall package.
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Parental & Family Support — Paid bonding leave of 12 weeks and a New Parent Reintegration program, plus fertility benefits around $40,000 and up to $15,000 adoption reimbursement with no lifetime cap, are clearly stated. These programs are presented as standout components alongside broader family support resources.
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Healthcare Strength — Multiple medical plan options with 2026 updates, a shift to Spring Health for EAP, and in‑network virtual medical visits covered at 100% beginning in 2026 indicate a comprehensive offering. These features signal an emphasis on robust medical access and mental health support.
Intel Insights
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