Quality and Reliability Student (AI Automation)

TL;DR

Quality and Reliability Student (AI Automation): Developing automation scripts and AI-driven solutions for semiconductor manufacturing quality and reliability with an accent on data integration and process optimization. Focus on bridging the gap between physical manufacturing processes and software engineering to detect correlations and implement predictive methodologies.

Location: Hybrid (Kiryat-Gat, Israel)

Company

hirify.global Foundry provides state-of-the-art semiconductor manufacturing and packaging technology to enable leadership products for the AI era.

What you will do

• Ensure standardization in product qualification and manufacturing quality systems.
• Evaluate materials and process technology for compliance with reliability requirements.
• Develop robust Python scripts to automate manual reporting and engineering workflows.
• Implement AI-driven solutions for data correlation and predictive analysis.
• Support fab technology certification and readiness for new technology introduction.
• Collaborate on Continuous Improvement Plans (CIP) and Corrective and Preventive Actions (CAPA).

Requirements

• Pursuing BSc/MSc in Physics, Computer Engineering, Mathematics, or Industrial Engineering (Information Systems).
• Must have at least 4 semesters remaining until graduation.
• Ability to work at least 20 hours per week (2.5 days).
• Proficiency in Python, Power BI, and SQL for data manipulation.
• Strong analytical skills for extracting insights from complex manufacturing databases.
• Must be based in Kiryat-Gat, Israel (Hybrid).

Nice to have

• Strong foundation in statistical analysis and engineering principles.
• Understanding of hardware architecture or process control.
• Keen interest in semiconductor physics.

Culture & Benefits

• Hybrid work model splitting time between on-site and off-site work.
• Hands-on experience in a dynamic semiconductor manufacturing environment.
• Opportunity to work within a worldwide factory network.