Yield and PCI (Process Control Innovation) Engineer

Samsung Electronics•Taylor, TX

5d•$76,000 - $145,000•Onsite

About The Position

We are seeking a highly analytical and detail-oriented Yield and Process Control and Investigation(PCI) Engineer to join our semiconductor manufacturing team. In this role, you will be critical in monitoring wafer manufacturing processes, driving yield enhancement, and investigating process excursions. You will utilize advanced statistical process control (SPC), defect inspection data, and parametric testing results to identify root causes of yield limiters. Working closely with cross-functional teams—including Process, Equipment, and Integration engineering—you will implement robust solutions to ensure process stability, minimize defects, and maximize product yield.

Requirements

B.E. M.Sc. in Electrical Engineering, Materials Science, Physics, Applied Physics, or related field
Understanding of semiconductor device physics and CMOS fabrication processes (Lithography, Etch, Thin Films, CMP, Diffusion, Implant).
Understanding of electrical parametric testing, defect inspection mechanisms
Strong technical writing and presentation skills to effectively communicate technical data to diverse audiences.
Ability to thrive in a fast-paced, 24/7 cleanroom manufacturing environment.
Capable of managing multiple high-priority investigations simultaneously while collaborating seamlessly with cross-functional teams.
Proactive and organized with excellent verbal and written communication skills for reporting to "home teams" and global stakeholders.
Cross-functional leadership and communication
Exceptional analytical problem-solving skills with a proven track record of resolving complex process excursions.

Responsibilities

Monitor daily inline data, metrology, and defectivity trends to identify out-of-control (OOC) or out-of-spec (OOS) conditions across the fabrication line.
Collaborate with Process and Equipment engineers to develop, validate, and implement Corrective and Preventive Actions (CAPA) to resolve process variations.
Develop, maintain, and optimize SPC charts, control limits, and sampling plans to ensure sensitive process nodes remain tightly controlled.
Summarize complex data into actionable reports and present yield/defectivity metrics to management and engineering teams to drive continuous improvement initiatives.