F28 Quality and Reliability Student (Systems and AI Automation)

Job Title

F28 Quality and Reliability Student (Systems and AI Automation)

Role Summary

Part-time student role in Fab28 Quality and Reliability focused on data-driven quality, automation, and AI integration. The position supports day-to-day manufacturing quality operations while developing scripts and AI solutions to modernize workflows.

Experience Level

Entry-level — student intern.

Responsibilities

The role combines quality and reliability tasks with automation and data analysis to improve manufacturing outcomes.

• Standardize product qualification and manufacturing quality systems.
• Evaluate materials and process technologies for compliance with quality and reliability requirements.
• Define reliability requirements and automated screening methods to meet regulatory, customer, and company objectives.
• Manage fab technology certification and readiness for new technology introductions at Fab28.
• Support creation of Continuous Improvement Plans (CIP) and Corrective and Preventive Actions (CAPA) for major events.
• Identify manual reporting and engineering bottlenecks and implement robust automation scripts.
• Develop AI-driven solutions to detect correlations and prepare data for advanced analysis and predictive methods.
• Bridge manufacturing process knowledge with software/data engineering to solve multidisciplinary problems.

Requirements

Concise list of must-have technical skills and work constraints, followed by desirable attributes.

• Must-have: Ability to work at least 20 hours per week (part-time availability).
• Must-have: Proficiency in Python and experience with Power BI for data manipulation and automation.
• Must-have: Data fluency: ability to query and manipulate large manufacturing datasets (e.g., SQL).
• Must-have: Strong analytical skills and ability to extract actionable insights from complex data.
• Must-have: Willingness to learn semiconductor manufacturing terminology, physics, and constraints.
• Nice-to-have: Foundation in engineering principles and statistical analysis.
• Nice-to-have: Understanding of manufacturing principles, process control, or hardware architecture.
• Nice-to-have: Interest in semiconductor physics and experience working in multidisciplinary teams.

Education Requirements

Pursuing a BSc or MSc in Physics, Physics and Computer Engineering, Physics and Mathematics, Industrial Engineering (with specialization in Information Systems), or a related technical field. Candidates must have at least four semesters remaining until graduation.

About the Company

Company: Intel Corporation

Headquarters: Santa Clara, California, USA

Intel Corporation is a leading multinational technology company known for its innovative semiconductor solutions, including microprocessors, artificial intelligence accelerators, and memory products. Headquartered in the United States, Intel focuses on cutting-edge technology and a collaborative working environment, driving advancements in semiconductor manufacturing to meet global demands. The company emphasizes professional development and aims to shape the future of technology through groundbreaking designs.