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
• Bachelors 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.