AI-Driven Yield Enhancement Engineer

Texas Instruments; Richardson (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

Texas Instruments is seeking an experienced Yield Enhancement Engineer in Richardson, Texas, to lead end-to-end yield improvement within the analog and mixed-signal product portfolio. This role requires the engineer to drive defect reduction and implement AI/ML techniques for defect classification.

The ideal candidate should have strong experience in data-driven analysis and collaboration with engineering teams. Responsibilities include defect analysis, predictive modeling, and working closely with Quality Assurance for defect detection.

Qualifications

• Experience in yield management and defect analysis in semiconductor manufacturing.
• Strong understanding of data analytics and AI/ML techniques.
• Ability to work in a high-paced, automated fab environment.

Responsibilities

• Lead data-driven defect-limited yield analysis across all product families.
• Triage data and mobilize cross-functional teams for defect resolution.
• Apply wafer map analytics to fingerprint yield-limiting defects.
• Define inspection strategies balancing sensitivity, throughput, and cost.
• Build predictive yield models correlating defect density with test outcomes.
• Partner with Quality Assurance on defect detection.

Skills

Data-driven analysis

Defect investigation

Machine learning techniques

Cross-functional collaboration

Job description

Texas Instruments is seeking an experienced Yield Enhancement Engineer in Richardson, Texas, to lead end-to-end yield improvement within the analog and mixed-signal product portfolio. This role requires the engineer to drive defect reduction and implement AI/ML techniques for defect classification.

The ideal candidate should have strong experience in data-driven analysis and collaboration with engineering teams. Responsibilities include defect analysis, predictive modeling, and working closely with Quality Assurance for defect detection.