Job Details:
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.
עיקרי התפקיד
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.
דרישות
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.
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.
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.
Intel is seeking talented engineers ready to make an impact in semiconductor manufacturing. Explore this exciting opportunity to contribute to innovation and shape the future of technology. Apply today.
Job Type:
Experienced Hire
Shift:
Shift 1 (United States of America)
Primary Location:
US, Arizona, Phoenix
Additional 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 Trust
N/A
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. 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.