Yield Development Engineer
AI in this role
Job Description:
As a Yield Development Engineer, you will play a pivotal role in identifying and addressing yield limiters throughout the lifecycle of advanced technology nodes. On a daily basis, you will analyze large-scale manufacturing data, perform statistical modeling, and drive process improvements to enhance yield performance. Your work will directly contribute to the successful ramp-up and manufacturability of innovative semiconductor technologies, ensuring product quality and driving Intel's technological leadership.
Business group
The Yield Development Engineer role resides within Intel Corporation's Yield Organization, which focuses on optimizing manufacturing processes and improving technology node yields. This group leverages advanced data analytics and engineering expertise across multiple disciplines to deliver high-quality, reliable products while supporting Intel's broader goals of innovation and market leadership.
Key Responsibilities
- Analyze manufacturing and experimental data to identify yield limiters and recommend process changes for yield improvement.
- Develop statistical models and visualizations to construct accurate process development roadmaps.
- Consolidate and analyze diverse big data sources using coding techniques, machine learning, and statistical methods to drive actionable insights.
- Collaborate with cross-functional teams to debug yield limiters in design, test, and process development areas.
- Perform fault isolation and failure analysis using tools such as ATE testing, DFx software, optical probing, logic simulation, and layout studies.
- Develop tools and methodologies for high-volume data analysis and yield improvement actions.
- Participate in design of experiments to support new product introduction and manufacturing ramp readiness.
- Create measurement recipes to enhance product quality and resolve yield-impacting issues.
Behavioral traits
- Effective communication and collaboration skills to lead cross-functional teams and drive yield improvements.
- Self-driven with a strong sense of ownership and ability to work effectively in fast-paced environments.
Qualifications:
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum qualifications and are considered a plus factor in identifying top candidates. This position is not eligible for Intel immigration sponsorship
Minimum Qualifications
- Bachelor's degree in Materials Science and Engineering, Mechanical Engineering, Chemical Engineering, Electrical Engineering, or Chemistry/Physics with 6+ years of experience; OR Master's degree with 4+ years of experience; OR PhD with 2+ years of experience.
- Experience mentioned above should be a combination of the following areas:
- Expertise in engineering analysis tools, data analysis, and scripting methods for automation of standard analytical tasks.
- Proficiency in Python, SQL, and JMP for big data analysis, with the ability to create dashboards to democratize datasets.
- Understanding of logic or substrate process flows critical for yield analysis
Preferred Qualifications:
- Experience in integration, yield analysis, LYA, failure analysis, test, defect metrology, or QNR.
- Demonstrated ability to connect analysis results to process fundamentals and systematically solve yield challenges.
- Familiarity with wafer-level or package assembly processes and associated yield considerations.
Join us in shaping the future of semiconductor technology. Your contributions will drive innovation, enhance manufacturability, and ensure product excellence at Intel.
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: $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.How we rate this
Yield Development Engineer at Intel rates 27 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. Open the description and count.
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