Senior Yield Engineer - Data-Driven Semiconductor

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

Benefits offered by this job

Medical, dental, and vision insurance

401(k) matching with immediate vesting

Onsite café and fitness facilities

Job summary

Samsung Austin Semiconductor is seeking a staff-level Yield Analysis & Improvement engineer to own end-to-end yield performance across wafer sort, parametric, and final test. You will apply advanced data mining, statistics, and machine learning to identify yield limiters and automate analytics pipelines.

Collaborating with Process Integration, Module, and Design teams, you will optimize windows, reduce variability, and drive corrective actions.

Qualifications

• B.E., M.S., or Ph.D. in Electrical Engineering, Materials Science, Physics, Applied Physics, or a related field.
• 5+ years of experience in semiconductor yield or process integration preferred.
• Foundry background with direct experience at a leading-edge fab focusing on FinFET or Gate-All-Around architectures.

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.
• Lead root cause investigations with structured problem-solving methodologies and coordinate with FA teams and Design/Module teams to ensure manufacturability.

Skills

Data mining

Statistical analysis

Machine learning

Python

SQL

JMP

Spotfire

Education

Electrical Engineering / Materials Science / Physics

Tools

JMP

Spotfire

SQL

Python

Job description

Samsung Austin Semiconductor is seeking a staff-level Yield Analysis & Improvement engineer to own end-to-end yield performance across wafer sort, parametric, and final test. You will apply advanced data mining, statistics, and machine learning to identify yield limiters and automate analytics pipelines.

Collaborating with Process Integration, Module, and Design teams, you will optimize windows, reduce variability, and drive corrective actions.