Semiconductor Yield / Defect Engineer (Wafer Fab, SEM Defect Review)

About the Role

We are seeking seasoned Semiconductor Yield and Defect Engineers to assist with an artificial intelligence training project centered on enhancing semiconductor production analytics. Your main task is to apply your extensive industry knowledge to train modern AI models, ensuring they can process and reason using high-caliber, empirical data. This role is ideal for individuals with extensive experience in wafer fabrication environments who wish to apply their technical insights to state-of-the-art AI development. Previous exposure to artificial intelligence is not required, as your professional industry background is the key qualification. We invite retired or former fab engineers to contribute their significant experience toward improving these automated systems through expert-level evaluations.

Requirements

• Extensive practical background in semiconductor fab settings, with a focus on yield analysis and SEM-based defect inspection.
• Demonstrated experience working in large-scale production facilities featuring test and sort floors, as opposed to laboratory-only environments.
• Proficiency in managing excursions, utilizing defect classification techniques, and applying strategies for yield enhancement.
• Strong capability in interpreting bin and wafer sort data along with test floor metrics to direct problem-solving efforts.
• Strong verbal and written communication skills to articulate intricate technical details for incorporation into AI training platforms.
• Substantial previous experience in defect engineering or process integration within significant manufacturing plants, with preference given to former or retired fab engineers.

Responsibilities

• Perform defect inspections using Scanning Electron Microscopy and categorize findings from wafer manufacturing processes.
• Examine mechanisms causing yield loss and connect specific defect signatures to production process errors.
• Assess process excursions and use data-driven insights to advise on whether to hold or release specific lots.
• Examine and provide annotations for test floor metrics and wafer sort data, covering parametric files and bin maps.
• Determine defect paretos and conduct analysis to trace the root causes of production issues.
• Record your professional findings and generate concise, actionable feedback to improve the learning efficacy of AI models.

Benefits & Perks

• This position is fully remote and operates on a contract basis, allowing you to utilize your semiconductor industry expertise to advance new technologies with a high degree of flexibility.