Senior Quality Process Development Engineer
Core
Design, develop, and validate statistical and machine-learning systems to detect, characterize, and triage wafer-level quality issues in semiconductor manufacturing.
Role type
Senior IC machine-learning engineer (semiconductor quality)
Builds
Statistical detection tools, learned pattern-recognition models, and AI-driven reporting layers for wafer probe data
Domain
Semiconductor manufacturing / Quality Engineering
Deliverable
production ML models
Required skills
Applied statistics (outlier/anomaly detection, hypothesis testing), Machine learning classification, Python, SQL, Technical documentation
Preferred skills
Semiconductor test data/wafer probe experience, LLM-driven analysis systems, Spatial/statistical process control methods
Technologies
Python, SQL, LLMs
Responsibilities
Design statistical detection tools for wafer probe data; Develop learned pattern-recognition models for failure classification; Build relationship-analysis and reporting layers using LLMs; Drive AI process improvement initiatives; Validate system performance against production fab lots
Seniority
Senior, hands-on IC