Semiconductor Yield & Data Analytics Engineer

Samsung; Taylor (TX); On-site; USD 106,000 - 175,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Life insurance and 401(k)

Job summary

Samsung Austin Semiconductor is seeking aYield Analysis & Improvement engineer to own end-to-end yield performance and drive data-driven improvements across wafer sort, parametric test, and final test. You will partner with Process Integration, Module, and Design teams to optimize process windows and mitigate yield excursions.

The role emphasizes advanced data mining, modeling, and collaboration with FA teams to resolve defects and containment actions while mentoring junior engineers and

Qualifications

• Requires advanced degree in EE, materials science, physics or related field.
• 5+ years in semiconductor yield or process integration is preferred.
• Direct experience at a leading-edge fab (FinFET or GAA) is advantageous.

Responsibilities

• Own end-to-end yield performance across wafer sort, parametric test, and final test.
• Perform advanced data mining and statistical analysis to identify yield limiters and drive improvement actions.
• Generate yield detractors and correlate yield to electrical, inline, and defect data.
• Collaborate with Process Integration, Module, and Design teams to optimize process windows and reduce variability.
• Lead root-cause investigations with Failure Analysis (FA) teams for physical and electrical correlation.
• Develop automated analytics pipelines (Python, JMP, SQL) and yield models.

Skills

Python

SQL

Semiconductor physics

Wafer fabrication

Statistical analysis

Foundry experience

Education

B.E., M.Sc., or PhD in Electrical Engineering, Materials Science, Physics, Applied Physics, or related field

Tools

Spotfire

JMP

Job description

Samsung Austin Semiconductor is seeking aYield Analysis & Improvement engineer to own end-to-end yield performance and drive data-driven improvements across wafer sort, parametric test, and final test. You will partner with Process Integration, Module, and Design teams to optimize process windows and mitigate yield excursions.

The role emphasizes advanced data mining, modeling, and collaboration with FA teams to resolve defects and containment actions while mentoring junior engineers and