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Yield Student for Intel Kiryat Gat

Yield Student for Intel Kiryat Gat
by Admin on 10-30-2025 at 8:43 am

Website Intel

Job Description:

Yield engineers play a critical role in analyzing production data, identifying process deviations, and driving improvements to maximize product quality and output. As a Yield student, you will work alongside experienced engineers, support real-time manufacturing needs, and contribute to the continuous improvement of yield performance.

Responsibilities:

• Collect, analyze, and interpret inline and yield data from manufacturing processes.
• Identify trends, anomalies, and root causes for inline deviations and yield loss using statistical tools and engineering methods.
• Collaborate with process, equipment, and integration engineers to propose and implement corrective actions.
• Support the development and validation of models for process control and optimization.
• Document and communicate results clearly to cross-functional teams.
Why Join Us?
• Be part of a high-impact team driving quality and efficiency in semiconductor manufacturing.
• Gain hands-on experience with advanced technologies and data-driven engineering.
• Work in a dynamic, supportive environment with opportunities for growth and learning.

IMPORTANT:  Please be informed that Intel is proactively trying to find candidates for a Yield Student for Intel Kiryat Gat position which is frequently available at Intel.  Please note that the position may not be available at this time. If you would be interested in this position should it become available, we would encourage you to apply, and our hiring team will be glad to contact you when/if relevant.

Qualifications:

What are we looking for?

• M.Sc. student in Materials Engineering, Chemical Engineering, Mechanical Engineering, or Data Science.
• Strong analytical skills and experience in data analysis and problem-solving.
• High level of initiative and ability to self-learn.
• Experience with data analysis tools such as Python, JMP, Excel, or similar-advantage.
• Solid understanding of manufacturing operations and statistical process control-advantage.
• Ability to multitask and work under tight deadlines.
• Ability to work at least 20 hours per week (2.5 days a week).
• At least 2 years until graduation-required.

Apply for job

To view the job application please visit intel.wd1.myworkdayjobs.com.

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