NPI Integration Lead — Advanced Packaging
Intel Corporation
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Job summary
Intel Corporation in Oregon seeks an experienced APTM NPI Integrator to lead technology transfer, manufacturing readiness, quality improvement, and yield optimization for advanced packaging and development programs. You will drive integration of new technologies from startup through high-volume manufacturing.
The role requires strong manufacturing expertise, data analytics (SQL, Python), and MBPS-driven problem solving to accelerate deployment and improve performance across factories, with
Qualifications
- Bachelor's degree in Chemistry, Mechanical Engineering, Materials Science, Electrical Engineering, or a related technical field with 2+ years of relevant experience.
- Master's degree in one of the listed fields with 1+ year of relevant experience.
- Data extraction and analysis using SQL and/or Python.
Responsibilities
- Coordinate the introduction of a new product into the factory by supplying required process documentation to factory customers.
- Act as primary information interface between the fab and upstream/downstream customers.
- Track collateral items, communicate wafer shipping to post-fab customers, update product codes in internal systems.
- Set up lot flows and initiate NPI Checklists for each module, monitor progress through the process flow to first production.
- Develop and implement new NPI systems and processes and close issues identified in NPI reflections.
- Utilize data analytics tools (SQL, Python) to derive insights and drive continuous improvement.
- Lead cross-functional teams through model-based problem-solving to address process excursions.
Skills
Education
Tools
Job description
Intel Corporation in Oregon seeks an experienced APTM NPI Integrator to lead technology transfer, manufacturing readiness, quality improvement, and yield optimization for advanced packaging and development programs. You will drive integration of new technologies from startup through high-volume manufacturing.
The role requires strong manufacturing expertise, data analytics (SQL, Python), and MBPS-driven problem solving to accelerate deployment and improve performance across factories, with
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