Intel
Intel Foundry Product Yield Development Engineer
$142K–$269K
US, Oregon, Hillsboro +1 · Full-time · Posted Oct 29, 2026
- Location
- US, Oregon, Hillsboro
US, Texas, Austin - Experience
- Ph.D. path: 2+ years in advanced semiconductor devices and process flow; Master’s path: 4+ years in advanced semiconductor devices and process flow. Preferred: 2+ years with data analysis systems and software tools; 2+ years in yield projection with EOL signals and in line parameters.
- Education
- Ph.D. or Master’s degree in a semiconductor science-related STEM degree in engineering, physical science, computer science, or related field.
About the job
Develops yield-improvement methods and tools for advanced semiconductor process technologies, identifies root causes of yield limiters, and supports product manufacturability and production ramp-up.
What you'll do
- Analyze fab process, defect, and electrical data to identify anomalies and yield limiters; develop algorithms and recommend process changes.
- Build statistical, machine-learning, and AI/ML applications and computational tools for yield modeling, design efficiency, and faster debugging.
- Collaborate on product introductions, design-technology co-optimization, experiments, measurement recipes, and production issue resolution.
What they ask for
- Ph.D. in a semiconductor science-related STEM field in engineering, physical science, computer science, or related field, plus 2+ years of experience in advanced semiconductor devices and process flow; OR Master’s degree in such a field, plus 4+ years of that experience.
Nice to have
- 2+ years of experience with data analysis systems and software tools.
- 2+ years of experience in yield projection with EOL signals and in line parameters; project/program management experience and cross-organizational collaboration are also preferred.
Pay
$141,910.00-269,100.00 USD annual base salary
Tools
machine learning, AI/ML
AI focus
Develops AI/ML applications and computational tools to bridge design and manufacturing, improve design efficiency, and reduce debug time.
Model-written summary · the original posting is authoritative