Intern - Probe Automation
Core
Develop an applied AI solution to automatically generate optimized wafer test movement configurations for semiconductor manufacturing.
Role type
Intern, Applied AI Optimization Engineer
Builds
Optimization engine and web application for visualizing and comparing wafer test configurations
Domain
Semiconductor manufacturing / Wafer probe testing
Deliverable
production ML models
Required skills
Python, Linux, Angular, SQL, optimization techniques, machine learning
Preferred skills
Combinatorial optimization, coverage optimization, sequencing, path-planning
Responsibilities
Develop an optimization engine to generate and rank wafer test movement configurations; Analyze historical configuration data and benchmark model results; Build a web application for engineers to visualize and compare configurations; Validate recommendations using production cases and quantify improvements