Senior Advanced-Node Yield & Diagnostics Architect

Qualcomm; San Diego (CA); On-site; USD 200,000 - 300,000; Full time

Job summary

Qualcomm Technologies, Inc. is seeking a Principal or Sr. Staff Advanced Node Yield & Diagnostics Engineer to drive yield learning and manufacturing success for next-generation AI platforms.

You will lead silicon characterization, yield diagnostics, failure analysis, and yield forecasting, influencing architecture pre-silicon with DFY strategies and data-driven optimization across die-to-package. The role requires deep expertise in advanced-node manufacturing, data analytics, and

Qualifications

• M.S. or Ph.D. in Electrical Engineering, Semiconductor Physics, Materials Science, or a related field.
• 10+ years of advanced-node semiconductor yield engineering or related experience with ownership of silicon bring-up and yield improvement initiatives.
• Hands-on experience with advanced semiconductor technology nodes (2nm, A14, or equivalent) and yield ramp activities.
• Strong understanding of lithography, etch, deposition, CMP, device integration, and interconnect technologies.
• Proven experience in yield diagnostics, process-yield correlation, and data analytics.
• Experience with test-chip characterization, silicon bring-up, and cross-functional yield investigations.

Responsibilities

• Perform process and yield diagnostics across wafer fabrication, sort, test, and system validation.
• Lead test-chip characterization and yield learning alongside IP, Design, Process Integration, Foundry, and PTE teams.
• Drive root-cause investigations using electrical test data, defect inspection, and failure analysis results.
• Correlate process, product, design, and test data to identify yield loss mechanisms and excursions.
• Support NPI through yield risk assessments, silicon learning, and manufacturing readiness evaluations.
• Develop yield models and communicate forecasts to support technology readiness and ramp planning.
• Monitor yield performance and build dashboards and KPIs for manufacturing health.

Skills

Data analysis

Python

SQL

Excel

Power BI

JMP

Yield modeling

Education

M.S./Ph.D. in Electrical Engineering or related field

B.S. in Science/Engineering

Tools

JMP

Yield Explorer

Python

SQL

Excel

Power BI

Job description

Qualcomm Technologies, Inc. is seeking a Principal or Sr. Staff Advanced Node Yield & Diagnostics Engineer to drive yield learning and manufacturing success for next-generation AI platforms.

You will lead silicon characterization, yield diagnostics, failure analysis, and yield forecasting, influencing architecture pre-silicon with DFY strategies and data-driven optimization across die-to-package. The role requires deep expertise in advanced-node manufacturing, data analytics, and