Product & Yield Engineer (Data-focused)
Core
Analyze large and complex semiconductor datasets to identify trends, isolate sources of variation, improve yield and reliability, and provide technical insight to engineering teams and manufacturing partners across NPI, Yield Engineering, and Product Quality.
Role type
Senior IC Product & Yield Engineer (Data-focused)
Builds
Silicon products for frontier AI inference systems
Domain
Semiconductor manufacturing and test data analysis
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Semiconductor manufacturing data analysis, statistical analysis (SPC, Cp/Cpk, hypothesis testing), root-cause investigation, yield signature identification, data mining, automated analysis scripting, dashboard creation, failure analysis methods, FMEA qualification plans, JEDEC standards
Preferred skills
SQL, Python, yieldHUB, Spotfire, JMP, automated anomaly-detection workflows, 3D IC and wafer stacking, BOM optimization
Technologies
yieldHUB, Spotfire, JMP, SQL, Python
Responsibilities
Analyze Process Integration, Yield Enhancement, D0 Control, and defect reduction data; investigate yield loss mechanisms and parameter distributions; combine data from multiple manufacturing stages to solve complex product issues; create scripts and repeatable analytical workflows; communicate findings through visualizations and reports.
Seniority
Senior, hands-on IC