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Master
Company:
Qualcomm Semiconductor Limited
Engineering Group, Engineering Group > ASICS Engineering
General Summary:
We are seeking a highly motivated and experienced Engineer in Digital Yield Diagnostics to lead yield analysis and optimization for advanced-node semiconductor products. In this role, you will drive data-driven diagnostics, failure analysis, and yield improvement across the product lifecycle—from New Product Introduction (NPI) through high-volume manufacturing (HVM).You will work at the intersection of design, test, and manufacturing, leveraging large-scale data analytics, scan diagnostics, and statistical modeling to identify yield limiters and deliver actionable solutions. This role offers a unique opportunity to influence silicon quality, manufacturing efficiency, and product success at leading-edge technology nodes.
Key Responsibilities:
·Lead yield diagnostics and analysis for advanced digital products across wafer sort, final test, and system-level validation.
·Drive root cause analysis of yield loss using scan diagnostics, electrical data, and statistical techniques.
·Partner with cross-functional teams (Design, DFT, Test Engineering, Foundry, and Operations) to resolve yield issues and implement corrective actions.
·Define and execute yield monitoring strategies, including dashboards, KPIs, and automated reporting systems.
·Drive continuous improvement in data infrastructure, automation, and diagnostic methodologies.
Qualifications:
·M.S. or Ph.D. in Electrical Engineering or a related field, with 5+ years of relevant industry experience.
·Strong experience in yield analytics, diagnostics, and semiconductor data analysis.
·Proven track record of driving yield improvement in high-volume manufacturing environments.
·Solid understanding of Digital design architecture, DFT methodologies (scan, ATPG, etc.), and Test flows including ATE and SLT
Preferred Qualifications:
·Experience with advanced node semiconductor process with hands-on experience driving yield ramp in HVM..
·Deep experience with scan diagnosis techniques and tools for volume yield analysis.
·Hands-on experience applying ML/AI techniques in yield analytics or diagnostics
Minimum Qualifications:
Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
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