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Intel

Intel Foundry Product Yield Development Engineer

Intel is hiring an Intel Foundry 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 Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include Python, Machine learning and Statistical Analysis.
  • 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

Develop data analysis methods, machine learning tools, and statistical models to improve semiconductor manufacturing yield.

pythonmachine-learningstatistical-analysis
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.


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


As a Yield Development Engineer, you will be at the forefront of advancing Intel's cutting-edge process technologies within our Logic Technology Development (LTD) organization. This pivotal role involves identifying root cause yield limiters and driving solutions that enhance manufacturability and yield across technology nodes. You will work within a dynamic, fast-paced environment to ensure the successful introduction of new products, process improvements, and robust methodologies to meet manufacturing goals. Your expertise will directly contribute to Intel's ability to deliver world-class semiconductor solutions and advance the future of computing.


About Intel Foundry


At Intel, the Foundry Technology Development (TD) unit is the driving force behind Moore's Law, enabling us to create groundbreaking technology that enriches lives globally. With over 15,000 dedicated employees, Foundry TD spearheads innovative research, develops next-generation processes and packaging technologies, and manages high-volume manufacturing in state-of-the-art facilities. Within Intel Foundry TD, our Logic Technology Development (LTD) organization is at the forefront of creating and refining each process technology node, paving the way for tomorrow's computing solutions.


Your responsibilities as a Product Yield Development Engineer will include but not be limited to:

  • Develop methods, processes, and systems to consolidate and analyze diverse big data sources for defect mode understanding and yield modeling.
  • Perform statistical analysis, create visualizations, and construct process development roadmaps that drive technology yield milestones.
  • Extract insights from structured and unstructured data using advanced statistics, machine learning, and coding techniques.
  • Organize, interpret, and structure insights from fab process, defect, and electrical data while identifying anomalies to drive process changes for yield enhancement.
  • Develop multivariate algorithms and tools to identify root cause yield limiters and recommend process changes for yield improvement.
  • Collaborate with design teams to resolve yield issues, ensuring manufacturability across process and product specifications before ramping production.
  • Execute new product introductions, enable design-technology co-optimization, and participate in design of experiments with factory task forces.
  • Develop measurement recipes for rapid feedback on product integrity and address issues impacting yield or product quality.
  • Create and harden systems capable of meeting operational needs for leading-edge logic nodes, working with equipment vendors and internal collaborators.
  • Develop AI/ML applications and computational tools to bridge the gap between design and manufacturing, improve design efficiency, and reduce debug time.
  • Document technical procedures, train colleagues, and debug equipment, software, and procedural failures in production environments when required.

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:

  • Ph.D. in semiconductor science-related STEM degree in engineering, physical science, computer science, or related field with 2+ years of experience in advanced semiconductor devices and process flow; OR
  • Master’s degree in semiconductor science-related STEM degree in engineering, physical science, computer science, or related field with 4+ years of experience in advanced semiconductor devices and process flow.

 

Preferred qualifications:

  • 2+ years of experience with data analysis systems and software tools
  • 2+ years of experience in yield projection with EOL signals and in line parameters
  • Project/program management experience with strong self-initiative and self-learning capabilities.
  • Proven track record of working across organizations through matrix structures to accomplish strategic objectives with conflicting priorities.

 

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.

 

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, 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 Product Yield Development Engineer at Intel rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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.

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Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

PythonMachine learningStatistical Analysis

Questions you could be asked

  1. What's a project where you used Python hands-on?
  2. Walk me through how you've used Machine learning in your day-to-day work.
  3. What are the limits of Statistical Analysis that you've run into, and how did you work around them?

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  • List these exact terms on your resume: Python, Machine learning, and Statistical Analysis. 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.

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