Job Description

We are looking for a highly analytical, multidisciplinary student to join our team in a dynamic semiconductor manufacturing environment. This role sits at the intersection of Foundry Quality and Reliability data science, and automation. You will gain hands-on experience with day-to-day Fab28 Quality and Reliability operations while playing an active role in modernizing our workflows through smart automation and AI-driven solutions.
If you are fascinated by the opportunity to gain strong technical expertise in the semiconductors process and want to apply your coding and analytical skills to solve complex, real-world engineering problems, this is the role for you.

Key Responsibilities
Foundry Quality and Reliability: Deliver standardization in product qualification, manufacturing quality systems, and methods. Evaluate materials and processes technology to ensure compliance with product quality and reliability requirements. Determine reliability requirements and automated screening methodologies to achieve company, customer, and regulatory reliability objectives. Ownership of fab technology certification and readiness activities for introduction of new technologies into Fab28, supporting robust quality, reliability, and early detection/containment capabilities. Partner in creating CIP (Continuous Improvement Plans) and CAPA (Corrective and Preventive Actions) for major events.
Smart Automation: Identify manual bottlenecks in our reporting and engineering workflows and develop robust scripts to automate them.
AI and 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:

What we are looking for?

• Education: BSc/MSc, 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.
• at least 4 semesters until graduation.
• Ability to work at least 20 hours per week (2.5 days a week).
• Programming Skills: proficiency in Python, Power BI, 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. You must be willing to learn the terminology, physics, and constraints of semiconductor manufacturing.
• Innovative Mindset: A self-starter who proactively looks for opportunities to optimize legacy processes with modern tech.

Preferred Attributes

• Strong foundation in engineering principles and statistical analysis.
• An understanding of basic manufacturing principles, process control, or hardware architecture.
• Keen interest in semiconductor physics and solid understanding of engineering concepts.
• Ability to work effectively in a fast-paced, multidisciplinary team environment.

Job Type:

Student / Intern

Shift:

Shift 1 (Israel)

Primary Location:

Israel, Kiryat-Gat

Additional Locations:

Business group:

Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of every person on Earth.

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/A

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.

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