Hiring: Engineer, Defect Reduction & Yield Enhancement Company: Analog Devices Location: Camas, WA Job Posted Time: 2026-09-12 14:15:14 Employment Type: Remote About the job Experience: •B.S. or M.S. in Electrical Engineering, Electronics Engineering, Chemical Engineering, Materials Science, Device Physics, or related technical field. •2+ years of experience driving defect reduction and yield enhancement in CMOS/BiCMOS or bipolar technologies and semiconductor unit processes. •Strong communication skills (written, verbal, presentation). •Strong analytical/problem-solving skills; able to make decisions using data. •Demonstrated capacity to drive projects to closure while managing shifting priorities. Required Skills: •Defect control ownership: Own defect control across multiple semiconductor process flows; monitor SPC trends, run correlation/commonality analysis, and support timely corrective actions to prevent inline excursions. •Excursion response support: Support defect excursion investigations, including data pull/analysis, containment documentation, and disposition support for discrepant material. •Defect reduction execution: Support clear goals for yield-limiting defect types; execute initiatives using Pareto and yield kill ratio analysis; help build and maintain out-of-control action plans (OCAPs). •Metrology tool support: Support defect inspection and SEM review tool performance (recipe robustness, matching checks, monitoring plans) across darkfield/brightfield Automated Optical Inspection (AOI) and SEM review platforms. •Cross-functional problem solving: Collaborate with Integration, Process, Equipment, and Operations teams to plan and execute experiments, perform segmentation/spatial signature analysis, summarize results, and propose actionable process optimizations. •Data analysis and reporting: Analyze defect and yield data using KLARITY ACE Defect or similar software; communicate findings through clear written updates and presentations. •Best practices and knowledge sharing: Learn and apply best-known methods (BKMs), and share learnings with peers and technicians as part of project execution. Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!