Engineering Student for Intel Kiryat Gat (System Operations & AI Automation)​ ​

About This Role

• Role Description ​ We are looking for a highly analytical, multidisciplinary student to join our team in a dynamic semiconductor manufacturing (FAB) environment.
• This role sits at the intersection of high-volume manufacturing data science, and automation.
• You will gain hands-on experience with day-to-day FAB sustaining operations while playing an active role in modernizing our workflows through smart automation and AI-driven solutions. ​ If you are fascinated by the physical reality of hardware manufacturing and want to apply your coding and analytical skills to solve complex, real-world engineering problems, this is the role for you. ​ Key Responsibilities ​ FAB Sustaining Operations: Support day-to-day manufacturing tasks, monitor equipment/process health, and investigate excursions to ensure continuous, high-quality output. ​ Supports equipment troubleshooting, maintenance, and qualification activities.
• Collaborate with engineering teams to optimize process control methodologies and ensure production targets are met. ​ Smart Automation: Identify manual bottlenecks in our reporting and engineering workflows and develop robust scripts to automate them. ​ AI & Data Integration: Build and implement AI-driven solutions to detect correlations and prepare data for advanced analysis, moving our team toward predictive methodologies. ​ Multidisciplinary Problem Solving: Bridge the gap between physical manufacturing processes and software/data engineering, learning the physics and mechanics behind the data you analyze . ​ Qualifications: Required skills Bsc, pursuing a degree in Physics, Physics and Computer Engineering , Physics and Mathematics, Industrial Engineering with a specialization in Information Systems, or a related technical field. ​ Minimum 4 semesters until graduation- required . ​ Ability to work at least 20 hours per week. (2.5 days a week) ​ Programming Skills: Strong proficiency in Python for data manipulation and automation. ​ Data Fluency: Exceptional analytical skills with the ability to query, manipulate, and extract actionable insights from massive, complex manufacturing databases (e.g., SQL). ​ Adaptability: A proven ability to step outside your core academic scope.