Intel Foundry LTD Product Yield Development Engineer

Intel is hiring an Intel Foundry LTD Product Yield Development Engineer. It pays $142k-$269k a year and Level rates it ; you can apply on Intel.

Level's read on this job

On Level's scale, this role is Uses AI ●●○○: an ordinary role that requires AI tools.
Tools and skills the posting cites include Kubernetes, Machine learning and software engineering.
Level classifies it as a mid-level role.
Level lists 805 other open roles at Intel.
The role was posted in the last few days.

AI in this role

Build in-house systems using machine learning and automation to maintain a large Kubernetes production environment.

kubernetesmachine-learning

software-engineeringdistributed-systemsautomationkubernetes

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

About Logic Technology Development: Technology Development (TD) is the heart and soul of Moore's Law at Intel. TD has enabled Intel to create world-changing technology that enriches the lives of every person on earth. TD's employees drive breakthrough research, develop next generation process and packaging technologies, while also running high volume manufacturing operations in its state-of-the-art facilities in Oregon and Arizona. Intel Foundry is developing the next generation of silicon solutions to enable tomorrow's computing solutions. Within Intel Foundry, Logic Technology Development (LTD) creates and perfects each process technology node.

About the Role: As a senior LTD product yield engineer, you will work to deliver test and analysis solutions for LTD Yield. You will partner with design groups to develop methods and strategies for improving product yield.

The responsibilities include (but are not limited to):

Formulate yield problems mathematically, identify solutions, and remove technical and non-technical barriers by influencing stakeholders to achieve successful solutions.
Identify root cause of systematic yield issues and propose mitigation plans in defined timeline to meet committed production yield targets.
Develop new yield analysis methods and algorithms to deliver world class yield analytics.
Work with design business units to debug new and novel process/product interactions.
Develop, organize, and present-yield strategies to LTD leadership.
Collaborate with Program Managers, Process Integration, Device Integration and Defect teams to identify yield detractors and yield enhancement opportunities.

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:

PhD in electrical engineering, computer science, VLSI design, physics and 1+ years of experience in advanced node semiconductor industry in semiconductor yield or product engineering
Master's degree in electrical engineering, computer science, VLSI design, physics and 3+ years of experience in advanced node semiconductor industry in semiconductor yield or product engineering

Preferred Qualifications:

Expertise with data analysis systems and software tools
Expertise in VLSI design and circuit analysis
Project/program management experience with strong self-initiative and self-learning capabilities.

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:

US, Arizona, Phoenix, US, New Mexico, Albuquerque, US, Texas, Austin

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: $141,910.00-269,100.00 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 require an on-site presence. * 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.

How we rate this

Intel Foundry LTD Product Yield Development Engineer at Intel rates 40 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Intel Foundry LTD Product Yield Development Engineer is an open job at Intel.
Level rates this role AI Level 2 of 4: Uses AI.
The listed salary is $142k-$269k a year.
The role is based in US, Oregon, Hillsboro.
The job was posted on October 29, 2026.
Seniority: mid.
Applications are handled by Intel. Apply on Intel

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Software EngineeringDistributed SystemsAutomationKubernetesMachine learning

Questions you could be asked

Tell me about a project where software engineering was part of your work. What did you do?
Tell me about a project where distributed systems was part of your work. What did you do?
Tell me about a project where automation was part of your work. What did you do?
Tell me about a project where kubernetes was part of your work. What did you do?
Walk me through how you've used Machine learning in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Software Engineering, Distributed Systems, Automation, Kubernetes, and Machine learning. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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