Change the world. Love your job. 
TI-RFAB is looking for an experienced Yield Enhancement Engineer to own end-to-end yield improvement across our analog and mixed-signal product portfolio. The engineer will drive defect reduction from detection to root-cause analysis through permanent corrective action and apply modern AI/ML techniques to accelerate defect classification and yield learnings. The engineer will be required to work closely with Process, Product, Integration, and Equipment Engineering teams in a high-paced, fully automated fab environment.

The responsibilities of a Yield Enhancement Engineer in this role include:

• Lead data-driven defect-limited yield analysis across all product families, from defect discovery through root-cause investigation to corrective action.
• Serve as a key technical responder for defect excursions with the ability to triage data and mobilize cross-functional teams quickly to resolution.
• Apply wafer map analytics to fingerprint yield-limiting defects by toolset, chamber, reticle field etc.
• Define and continuously improve inline inspection sampling strategies, balancing detection sensitivity, throughput, and cost.
• Build predictive yield models by correlating inline defect density with electrical test outcomes and liaise with the process modules to implement virtual metrology to ultimately enable real-time risk scoring.
• Partner with Quality Assurance to close the loop between customer-observed failures and in-fab defect detection.