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 (chips and systems) for frontier AI model inference
Domain
Semiconductor manufacturing and test data analysis
Deliverable
production ML models
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, process variation analysis, lot-to-lot variation analysis, correlation analysis, trend analysis, FMEA-derived qualification plans, JEDEC standards
Preferred skills
Automated yield-monitoring workflows, anomaly detection, SQL, Python, dashboard development, reusable engineering analysis frameworks, multi-cultural supplier management
Technologies
yieldHUB, Spotfire, JMP, SQL, Python
Responsibilities
Analyze wafer fab, IC assembly, and fabless semiconductor data; identify yield loss mechanisms; create scripts and automated analytical workflows; investigate complex product and process issues; communicate findings through visualizations and reports; guide selection of destructive and non-destructive investigation techniques
Seniority
Senior, hands-on IC