Job Details:
Job Description:
As a Yield Analysis Engineer, you will play a pivotal role in identifying and solving yield and reliability challenges to ensure our products meet the highest standards. On a day-to-day basis, you will analyze complex test data, conduct failure analysis, and develop advanced characterization techniques to improve manufacturing processes. Your expertise will directly contribute to enhancing product quality and operational efficiency, making a tangible impact on Intel's success.
Business group
You will be part of Intel's manufacturing and product engineering organization, which focuses on optimizing semiconductor production processes to deliver high-performance, reliable products to global markets. The team supports Intel's mission to create world-changing technology, driving innovation across industries while maintaining the highest quality standards.
Key Responsibilities:
Conduct yield analysis and failure investigations to identify root causes and recommend solutions to improve manufacturing yields and reliability.
Analyze end-of-line test data, process parameters, and electrical measurements using statistical tools to extract meaningful insights and perform correlation calculations.
Develop and implement advanced characterization and analysis techniques to enhance the efficiency and precision of failure analysis efforts.
Perform electrical failure analysis (EFA) to address complex yield limiters across product development and high-volume manufacturing phases.
Collaborate across teams to segment issues related to process, test marginalities, and product operation.
Support process and defect characterization while developing innovative techniques to accelerate failure identification and root cause understanding.
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, Materials Science, Physics, Chemical Engineering, or related STEM field and 4+ years relevant experience OR
Master's degree in Electrical Engineering, Materials Science, Physics, Chemical Engineering, or related STEM field and 2+ years relevant experience OR
Ph.D. in Electrical Engineering, Materials Science, Physics, Chemical Engineering, or related STEM field.
Depending on the degree obtained, the listed amount of experience will be needed in each of the items below: Background in yield analysis, failure analysis, or process integration in semiconductor manufacturing
Statistics and data analytics (yield modeling, SPC, DOE, correlation analysis)
Wafer sort testing, defect metrology, E test, and/or fab data systems
Preferred Qualifications:
Programming or scripting experience (Python, SQL, JMP, or similar) for large scale data analysis (machine learning or AI)
Lead structured problem solving and drive cross team alignment
Strong written and verbal communication skills
Familiarity with defect metrology, inline monitoring, and yield excursion management
Experience supporting NPI ramps and HVM yield sustainment in a factory environment
Behavioral Expectations
Results driven with a strong sense of ownership and accountability
Comfortable operating in a fast-paced manufacturing environment with shifting priorities
Able to influence without authority and align diverse stakeholders around data backed conclusions
Committed to safety, quality, and continuous improvement
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,…