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Yield Development Engineer

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Yield Development Engineer

Intel Corporation

Yield Development Engineer

Skills

Data AnalysisMachine Learning

2 days ago

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Important information


Contract type:

Permanent

Location:

Hillsboro, OR, USA

Work mode:

Hybrid

Published on:

22 October 2026

What they need


Job Details Job Description:

Embark with us on a journey of growth and transformation as we create exceptionally engineered technology and bring AI everywhere. As a valued team member, your adaptability and attention to detail will contribute to our drive for results and relentless pursuit of quality, ensuring we meet our customers' needs with precision.

Join us and build on our legacy of innovation and collaboration as we deliver world‑changing technology that improves the life of every person on the planet.

Life at Intel: https://jobs.intel.com/en/life-at-intel

As a Yield Development Engineer, you will play a critical role in advancing Intel's cutting-edge semiconductor technologies. You will be part of a team responsible for driving yield improvement strategies that span the entire lifecycle of a technology node, from research and development through high-volume manufacturing. Your contributions will directly influence Intel's ability to maintain its leadership in the semiconductor industry, ensuring the success of innovative silicon solutions that shape the future of computing. Collaborating with cross-functional teams, you will develop methods and tools to analyze vast data sets, identify yield limiters, and implement process changes that enable Intel to achieve its yield milestones. This role promises an opportunity to shape groundbreaking technologies and generate impactful advancements for the industry and beyond.

Responsibilities Will Include But Will Not Be Limited To

  • Perform statistical analysis to construct accurate process development roadmaps and drive technology yield milestones.
  • Analyze and consolidate diverse data sources to identify defect modes and create yield models.
  • Develop multivariate algorithms for high-volume data analysis to identify root cause yield limiters.
  • Extract insights from structured and unstructured data using machine learning, coding techniques, and advanced statistical methods.
  • Collaborate with process integration, defect engineering, and electrical fault isolation teams to debug yield detractors and propose solutions.
  • Conduct fault isolation and failure analysis to determine the root cause of yield-impacting issues.
  • Develop tools and systems that transform manufacturing data into actionable yield improvement strategies.
  • Work closely with design teams to resolve product-related yield issues and improve manufacturability.
  • Execute new product introductions and participate in factory task forces to ensure process optimization.

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 Experience listed below would be obtained through a combination of your schoolwork, classes, research and/or relevant previous job and/or internship experiences.

Minimum Qualifications

  • Bachelor's degree in Engineering, Physical Sciences, Computer Science, or a related field and 3+ years of experience in semiconductor processing, semiconductor devices, or nanotechnology; OR

  • Master's degree in Engineering, Physical Sciences, Computer Science, or a related field and 2+ years of experience in semiconductor processing, semiconductor devices, or nanotechnology; OR

  • PhD in Engineering, Physical Sciences, Computer Science, or a related field.

  • 1+ years of experience in one of the following:

  • Proficiency in data analysis systems, and machine learning techniques.

  • Optical probing or metrology.

  • Expertise in Statistical Process Control (SPC) and Design of Experiments (DOE) principles.

  • Expertise in full-stack application development, software architecture, and cloud-based platforms

Preferred Qualifications

  • PhD in Engineering, Physical Sciences, Computer Science, or a related field and 2+ years of experience in semiconductor processing, semiconductor devices, or nanotechnology.
  • 1+ years of experience in fault isolation, failure analysis tools, and techniques such as electrical testing, and layout studies.
  • Proven ability to collaborate in cross-functional teams and matrixed organizations.
  • Strong project management skills with demonstrated self-initiative and ability to drive strategic objectives in complex environments.
  • Expertise in semiconductor physics and advanced device interactions modeling.
  • Experience maintaining and troubleshooting semiconductor equipment.
  • Demonstrated ability to develop and present yield strategies to technical and business stakeholders.
  • Proficiency in yield modeling methodologies

Take advantage of this opportunity to join Intel and shape the future of engineering. Apply today to be part of a team that drives industry-leading innovation and transformation.

Interview Tips: https://www.intel.com/content/www/us/en/jobs/hiring.html

Job Type Experienced Hire

Shift Shift 1 (United States of America)

Primary Location:

US, Oregon, Hillsboro

Additional Locations:

Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $115,110.00 - 219,550.00 USD

The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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