Intel
Building- HQ
- Santa Clara, US
- Founded
- 1968
- Size
- 120,000+
- Website
- intel.com
Currently tracking 64 active AI roles, up 216% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $122k–$414k (avg $253k).
Hiring
64 / 66
Momentum (4w)
↑+356 +216%
521 opens last 4w · 165 prior 4w
Salary range · avg $253k
$122k–$414k
USD · disclosed roles only
Tracked since
Feb 3
last role today
Hiring velocityscroll left for older weeks
Jobs (3)
| Title | Stage | AI score |
|---|---|---|
| Graduate Talent (MPE DDG Product Development Engineer) This role involves a Product Development Engineer in Intel's Manufacturing and Product Engineering (MPE) group, focusing on ensuring testability and manufacturability of integrated circuits. Key responsibilities include evaluating and debugging test programs, analyzing manufacturability issues, performing data analysis and deploying AI tools to improve test metrics, developing support software, and providing first-level debug. The role requires a Bachelor's or equivalent degree in a related engineering field and prefers proficiency in AI tools and programming languages like Python. | Data | 5 |
| Graduate Talent (MPE DDG Product Development Engineer) This role involves a Product Development Engineer in Intel's Manufacturing and Product Engineering (MPE) group, focusing on ensuring testability and manufacturability of integrated circuits. Key responsibilities include evaluating and debugging test programs, analyzing manufacturability issues, performing data analysis and deploying AI tools to improve test metrics, developing support software, and providing first-level debug. The role requires a Bachelor's or equivalent degree in a related engineering field and prefers proficiency in AI tools and programming languages like Python. | Data | 5 |
| Graduate Talent (MPE Product Dev Mfg Engineer - Yield) This role focuses on improving product yield in manufacturing by implementing AI capabilities, performing Big Data analysis, and developing scripts for data analysis. The goal is to identify root causes of yield issues and optimize production. | Data | 5 |