Intel is looking for highly motivated individuals with strong technical background and capabilities to sustain, ramp, and transfer all technology nodes in Arizona. They will drive rapid continuous improvements in safety, quality, yield, reliability, cost, process stability/capability, and productivity while maintaining rigorous quality control.
The role of a Process Integration and Yield Engineer is to deliver high-quality analytical insights that influences / directs the factory resources to minimize defects, control process parameters, and improve overall factory yields. All improvements and sustaining work is done in close collaboration and partnership with the process to improve the capability of the tools and processes.
Responsibilities may include, but are not limited to:
- Performing detailed data analysis using various statistical/data mining tools to identify the root cause of defect and yield issues.
- Identifying exclusionary or baseline sources of defects or yield impacts and recommending/leading corrective actions/fixes.
- Lead/participate continuous improvement projects on products and processes for improved performance.
- Provide expertise on process flow segments.
- Lead/participate in multi-area problem solving teams to provide expertise to troubleshoot complex yield problems.
- The ideal candidate should exhibit the following behavioral traits:
- Solid analytical skills and a passion for data analysis and problem solving.
- Organizational skills with attention to detail.
- Excellent interpersonal skills with the ability to work with people at all levels.
- Communication and presentation skills to influence a wide variety of groups at all levels.
Demonstrate excellent teamwork and leadership skills, demonstrated problem solving and prioritization skills, and driving high-performance maintenance goals for the group
Minimum Qualifications:
BS degree in Electrical Engineering, Microelectronics Engineering, Material Science Engineering, Chemical Engineering, Mechanical Engineering, Optical Engineering, Statistics/Data Science, Chemistry, Physics or related STEM field of study with 4+ years of experience, or Master’s degree with 3+ years of experience or a Ph.D. in the above labeled fields.
Depending on the degree level obtained, the mentioned years of experience will be needed in each of the below areas:
- Knowledge of Semiconductor fabrication and processing techniques (Lithography, Etch, Diffusion, Implant, Planay and Thin Films, etc).
- Statistical Process Control and Design of experiments (DOE) principles, Statistical Data Analysis (Examples include: JMP/JSL, Python, SQL)
Preferred Qualifications:
- Programing Experience in JMP/JSL, Python, R and SQL
- 2+ yrs of New Technology startup experience
- 5+ years of advanced node Foundry experience in Process/Yield Engineering.
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.
Job Type:Shift:Shift 1 (United States of America)Primary Location: US, Arizona, PhoenixAdditional 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: $103,730.00-198,820.00 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 require an on-site presence. * 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 Electrical Engineering, Microelectronics Engineering, Materials Science Engineering, Chemical Engineering, Mechanical Engineering, Optical Engineering, Statistics/Data Science, Chemistry, Physics, or a related STEM field, plus 4 or more years of experience
- Master’s degree in a listed or related STEM field, plus 3 or more years of experience
- Ph.D. in a listed or related STEM field
- Knowledge of semiconductor fabrication and processing techniques, including lithography, etch, diffusion, implant, planarization, and thin films
- Knowledge of Statistical Process Control, design of experiments, and statistical data analysis
- Programming experience with JMP/JSL, Python, R, and SQL
- At least 2 years of new technology startup experience
- At least 5 years of advanced-node foundry experience in process or yield engineering
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.
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