Manufacturing Defect Engineer
Core
Develop and deploy inline inspection strategies and AI agents to reduce mean time to detect defects and improve yield in semiconductor manufacturing.
Role type
Manufacturing Defect Engineer (AI/ML focus)
Builds
Defect monitoring applications, image classification models, and data analysis pipelines for yield management
Domain
Semiconductor manufacturing / Data Science
Deliverable
production ML models
Required skills
Statistical analysis (multivariate/univariate), Design of Experiments (DOE), Data mining, Image classification model training, Root cause analysis, SQL, Python/Java/R, Project management
Preferred skills
Power BI, Semiconductor processing experience, 6-sigma, SPC, 5S, 8D, FMEM
Technologies
Python, Java, R, SQL, Power BI
Responsibilities
Generate defect Pareto charts and identify root causes of top defects; Create and execute Design of Experiments (DOE) and analyze results; Independently create, train, and maintain image classification models; Work with cross-functional teams to develop and sustain AI models and agents; Document business processes and application specifications.
Seniority
Individual Contributor