Foundry Customer Yield Engineer
Intel2 Locations$122k – $232kPosted 15 April 2026
Job Description
Job Details:
Job Description:
Intel Corporation is the world's largest semiconductor company and a technology leader driving innovation that extends the reach and promise of computing. As we transform from an Integrated Device Manufacturer (IDM) to a leading foundry provider, we're creating unprecedented opportunities for engineers to shape the future of semiconductor manufacturing while serving customers across automotive, mobile, and data center markets.
Join our Customer Engineering team in Ocotillo, Arizona or Hillsboro, Oregon, and play a pivotal role in Intel's foundry transformation. As a Customer Yield Engineering Specialist, you'll work at the intersection of advanced analytics and customer success, driving yield optimization initiatives that directly impact our foundry customers' manufacturing goals. This role offers the unique opportunity to combine technical expertise with customer collaboration in a fast-paced, innovation-driven environment.
Key Responsibilities:
Conduct comprehensive baseline data analysis across multiple test sockets to identify and prioritize yield improvement opportunities for Intel and foundry products
Develop sophisticated yield modeling and predictive analytics to support customer manufacturing objectives and technology roadmaps
Lead yield optimization projects, excursion investigations, and containment activities in close collaboration with both internal teams and external customers
Define clear problem statements through advanced data mining techniques and communicate findings effectively to stakeholders across Intel and customer organizations
Collaborate directly with foundry customers throughout the yield optimization process, ensuring seamless technology integration and manufacturing success
Engage cross-functional teams of experts to systematically resolve complex yield challenges while maintaining exceptional customer satisfaction
As a successful candidate, you must possess:
Exceptional problem-solving abilities with strong self-initiative and autonomous work capabilities
Outstanding analytical mindset with proven ability to identify patterns in complex datasets
Superior communication skills and experience working effectively with multi-functional, multi-cultural teams
High tolerance for ambiguity and skills to transform unclear requirements into actionable project components
Strong organizational skills with demonstrated skills to drive projects from conception to completion
Collaborative leadership style with experience managing stakeholder relationships across different organizations
Ready to Shape the Future of Semiconductor Manufacturing? If you're passionate about yield optimization, customer success, and being part of Intel's historic transformation, we want to hear from you. Apply today to join our world-class Customer Engineering team in Ocotillo or Hillsboro and help drive the next generation of foundry excellence.
Qualifications:
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications:
Bachelor’s or master's degree in STEM major
4 years of experience in the semiconductor industry with experience in the following:
Data analysis, statistical concepts, and data visualization techniques.
Use appropriate data analysis techniques and build physical models based on Yield/Fab data.
Semiconductor manufacturing environment with understanding of yield analysis methodologies.
Preferred Qualifications:
Ph.D. Degree with 1 years of relevant experience in:
300mm startup and ramp of advanced logic process technologies; experience in an entire foundry technology cycle
Yield Analysis (LYA), Device Engineering, or Integration with demonstrated expertise in yield improvement initiatives.
Understanding of Intel Test Programs and basic knowledge of Intel products and proc ... (truncated, view full listing at source)
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