Job Description
As a Process Integration and Yield Engineer, you will play a critical role in driving continuous improvements across advanced manufacturing processes. You'll focus on analyzing data, identifying root causes of yield and defect issues, and implementing corrective actions to improve process quality and reliability. Your work will directly contribute to enhancing Intel's manufacturing efficiency and delivering high-performance products to meet customer needs.
Business Group
This role is part of Intel's Foundry Technology Development Yield organization, which is dedicated to optimizing semiconductor manufacturing and enabling cutting-edge solutions for foundry customers. The team works collaboratively across manufacturing, operations, and engineering to ensure process stability, capability, and quality control, supporting Intel's broader goals of innovation and excellence.
Key Responsibilities
•Conduct data analysis using statistical and data mining tools to identify defect and yield improvement opportunities.
•Lead or participate in multi-functional teams to address yield challenges and implement process changes.
•Collaborate with integration, module, and yield engineers to enhance process quality, reliability, and cost efficiency.
•Develop tools, algorithms, and methodologies for high-volume data analysis to identify root causes and recommend corrective actions.
•Drive continuous improvement programs to prevent quality, line yield, and sort yield excursions.
•Execute new product introductions and design of experiments to optimize manufacturing processes.
•Provide expertise to troubleshoot complex yield problems and ensure manufacturability.
Qualifications
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications
•Bachelor's degree in Electrical Engineering, Material Science, Physics, or related STEM field with 4+ years of experience, OR
•Master's degree in Electrical Engineering, Material Science, Physics, or related STEM field with 2+ years of experience, OR
•PhD in Electrical Engineering, Material Science, Physics, or related STEM field with no prior experience required.
•Depending on the degree obtained above, the listed amount of experience will be needed in each of the areas below:
•Statistical analysis tools (e.g., Excel, SQL, JMP).
•Semiconductor processing and manufacturing environments.
•Statistical Process Control (SPC) and/or Design of Experiments (DOE) principles.
•Data structures, and data analysis methods.
Preferred Qualifications
•Advanced knowledge of semiconductor fabrication techniques (e.g., Lithography, Etch, CMP, Thin Films).
•Programming languages.
•Familiarity with machine learning tools for process analysis and yield enhancement.
•Experience in failure analysis techniques and big data applications.
•Strong communication, teamwork, and leadership skills to collaborate across teams and levels.
•Demonstrated ability to lead improvement programs and effectively manage priorities in a fast-paced environment.
Job Type
Experienced Hire
Shift
Shift 1 (United States of America)
Primary Location
US, Arizona, Phoenix
Benefits
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.
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.
