Yield Engineer

Samsung Electronics•Taylor, TX

1d•Onsite

About The Position

Samsung Austin Semiconductor is seeking an experienced yield engineer to drive yield excellence across advanced semiconductor technologies, from development through high-volume manufacturing. This role requires deep expertise in yield analysis, defect characterization, and cross-functional problem solving to accelerate yield ramp.

Requirements

B.E. M.Sc., or PhD in Electrical Engineering, Materials Science, Physics, Applied Physics, or related field
5+ years of experience in semiconductor yield or process integration
Foundry Background: Direct experience at a leading-edge fab focusing on FinFET or Gate-All-Around (GAA) architectures
Strong understanding of semiconductor device physics, wafer fabrication, and transistor performance and semiconductor process (Lithography, Etch, CMP, PVD/CVD)
Coding skills for data manipulation (Python, SQL)
Proficiency in statistical analysis software (Spotifre, JMP, Related python library)
Experience with advanced nodes (< 3nm)
Proactive and organized with excellent verbal and written communication skills for reporting to "home teams" and global stakeholders
Cross-functional leadership and communication
Strong business acumen (yield ↔ cost ↔ cycle time)
Knowledge of SRAM and Vmin analysis and bit-mapping techniques

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 and module teams to reduce variability and improve process windows
Define and execute defect reduction strategies
Partner with Module and Process Integration engineers to solve complex critical defect issues
Support technology launch, ramp, and transfer across nodes and fab
Lead root cause investigations using structured problem-solving methodologies
Partner with FA teams (EFA/PFA) to correlate physical defects with electrical signatures
Collaborate with Design and Product teams to ensure manufacturability and resolve layout-dependent yield issues before mass production ramp
Drive containment and corrective actions for yield excursions
Apply statistical analysis, machine learning, and predictive modeling to yield datasets
Develop automated analytics pipelines (Python, JMP, SQL)
Develop and maintain sophisticated yield models
Define yield roadmap, KPIs, and improvement strategy
Lead task forces for major yield excursions
Mentor junior engineers and establish best practices
Interface with executive leadership on yield health and risks