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. Minimum requirements: • 3 years relevant experience in Yield Enhancement within the semiconductor industry • Bachelor's degree in Materials Science Engineering, Electrical Engineering, Chemical Engineering, Chemistry, Physics, or a related field. • Strong silicon semiconductor process knowledge with hands on yield engineering experience in a high-volume fab. Preferred qualifications: • Comfort working across functional modules – Process, Product, Integration and Equipment Engineering – and communicating findings clearly to technical and managerial teams. • Demonstrated strong analytical skills. • High sense of urgency, structured problem-solving, and a collaborative mindset. • Demonstrated ability to build strong, influential relationships. • Ability to work effectively in a fast-paced and rapidly changing environment. • Ability to take the initiative and drive for result.