Lead the development and deployment of Intel's advanced chip packaging process technology focusing on packaging inspection technologies across assembly, test, and finish processes
Job Summary
Lead the development and deployment of Intel's advanced chip packaging process technology focusing on packaging inspection technologies across assembly, test, and finish processes.
Establish metrology and defect inspection capabilities to accelerate process development and ensure effective outgoing quality screening aligned with the company roadmap.
Drive improvements in quality, reliability, cost, yield, process stability, productivity and safety/ergonomics while engaging in testing and validating hardware/software upgrades.
Matching Summary
Lead the development and deployment of Intel's advanced chip packaging process technology focusing on packaging inspection technologies across assembly, test, and finish processes.
Skills & Requirements
Must-have
Advanced chip packaging process technology
Packaging inspection technologies
Assembly and Test development
Metrology and defect inspection capabilities
Inspection process recipes
Material interactions understanding
Product Inspection module FMEA
New inspection capability assessment
Auto Inspection and Disposition (AID)
Machine Learning model development
Quality, reliability, cost, yield improvements
Hardware/software upgrade testing
Nice-to-have
Novel design solutions for manufacturing
Data science and statistics tools
Machine Vision techniques
Dimensional management for package features
Key Requirements
Bachelor's or Master's degree in Engineering, Physics, Computer Science or related STEM field
Fundamental physical processes troubleshooting
Ultra-high precision equipment troubleshooting
Optical, laser, motion or electrical systems expertise
Optics fundamentals for imaging techniques
Light-matter interaction understanding
Statistical principles, SPC, DOE knowledge
6+ months of experience in Semiconductor Inspection
Optics fundamentals as applied to imaging techniques
Data science and statistics tools (Python preferred)