Yield Enhancement Engineer (RFAB)

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.