IntelOcotillo Technology Fabrication Process Integration and Yield Engineer
Intel is hiring an Ocotillo Technology Fabrication Process Integration and Yield Engineer in Phoenix, United States. It pays $104k-$199k a year and Level rates it ; you can apply on Intel.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- The posting mentions Excel, SQL and Jmp among its tools and skills.
- Level classes it as a mid-level role.
- Intel has 805 other open roles on Level.
- Posted within the past week.
AI in this role
Process Integration and Yield Engineer responsible for analyzing manufacturing data and improving semiconductor yield.
Job Description:
As a Process Integration and Yield Engineer, you will play a critical role in driving continuous improvements across advanced manufacturing processes. You'll focus on analyzing data, identifying root causes of yield and defect issues, and implementing corrective actions to improve process quality and reliability. Your work will directly contribute to enhancing Intel's manufacturing efficiency and delivering high-performance products to meet customer needs.
Business Group
This role is part of Intel's Foundry Technology Development Yield organization, which is dedicated to optimizing semiconductor manufacturing and enabling cutting-edge solutions for foundry customers. The team works collaboratively across manufacturing, operations, and engineering to ensure process stability, capability, and quality control, supporting Intel's broader goals of innovation and excellence.
Key Responsibilities:
- Conduct data analysis using statistical and data mining tools to identify defect and yield improvement opportunities.
- Lead or participate in multi-functional teams to address yield challenges and implement process changes.
- Collaborate with integration, module, and yield engineers to enhance process quality, reliability, and cost efficiency.
- Develop tools, algorithms, and methodologies for high-volume data analysis to identify root causes and recommend corrective actions.
- Drive continuous improvement programs to prevent quality, line yield, and sort yield excursions.
- Execute new product introductions and design of experiments to optimize manufacturing processes.
- Provide expertise to troubleshoot complex yield problems and ensure manufacturability.
Qualifications:
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications
- Bachelor's degree in Electrical Engineering, Material Science, Physics, or related STEM field with 4+ years of experience, OR
- Master's degree in Electrical Engineering, Material Science, Physics, or related STEM field with 2+ years of experience, OR
- PhD in Electrical Engineering, Material Science, Physics, or related STEM field with no prior experience required.
- Depending on the degree obtained above, the listed amount of experience will be needed in each of the areas below:
- Statistical analysis tools (e.g., Excel, SQL, JMP).
- Semiconductor processing and manufacturing environments.
- Statistical Process Control (SPC) and/or Design of Experiments (DOE) principles.
- Data structures, and data analysis methods.
Preferred Qualifications
- Advanced knowledge of semiconductor fabrication techniques (e.g., Lithography, Etch, CMP, Thin Films).
- programming languages
- Familiarity with machine learning tools for process analysis and yield enhancement.
- Experience in failure analysis techniques and big data applications.
- Strong communication, teamwork, and leadership skills to collaborate across teams and levels.
- Demonstrated ability to lead improvement programs and effectively manage priorities in a fast-paced environment.
Intel is seeking talented engineers ready to make an impact in semiconductor manufacturing. Explore this exciting opportunity to contribute to innovation and shape the future of technology. Apply today.
Job Type:
Experienced HireShift:
Shift 1 (United States of America)Primary Location:
US, Arizona, PhoenixAdditional 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/ABenefits
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: $103,730.00-198,820.00 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
Ocotillo Technology Fabrication Process Integration and Yield Engineer at Intel rates 0 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.
Little AI. AI is not part of the work.
- ●●●● 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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where statistical analysis was part of your work. What did you do?
- Tell me about a project where data mining was part of your work. What did you do?
- Tell me about a project where yield optimization was part of your work. What did you do?
- Tell me about a project where semiconductor fabrication was part of your work. What did you do?
- Walk me through how you've used Excel in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Statistical Analysis, Data Mining, Yield Optimization, Semiconductor Fabrication, and Excel. 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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