Yield Student for Intel Kiryat Gat

As a Yield student at Intel Kiryat Gat, you will play a critical role in analyzing production data, identifying process deviations, and driving improvements to maximize product quality and output. You will work alongside experienced engineers, supporting real-time manufacturing needs and contributing to continuous yield performance improvement. Responsibilities include collecting, analyzing, and interpreting inline and yield data, identifying trends and root causes for deviations, collaborating on corrective actions, and supporting model development for process control and optimization.

Must Have

• 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
• BSc./MSc./PhD 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
• 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

Good to Have

• Experience with data analysis tools such as Python, JMP, Excel, or similar
• Solid understanding of manufacturing operations and statistical process control

Perks & Benefits

• 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

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.

Qualifications:

What are we looking for?

• BSc./MSc./PhD 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.