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 ofhigh-volume manufacturing data science, and automation. You will gain hands-on experience with day-to-day FAB sustaining operations while playing an active role inmodernizing 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, thisis the role for you.
Key Responsibilities
FAB Sustaining Operations: Support day-to-day manufacturing tasks,monitorequipment/process health, and investigate excursions to ensure continuous, high-quality output.
Supports equipment troubleshooting, maintenance, and qualification activities. Collaborate with engineering teams tooptimizeprocess control methodologies and ensureproduction targets are met.
Smart Automation:Identifymanual 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 datayouanalyze.
Required skills
Bsc, pursuing a degree inPhysics, Physics and Computer Engineering, Physics andMathematics, Industrial Engineering with a specialization in Information Systems,or a related technical field.
Minimum 4semesters until graduation-required.
Ability to work at least 20 hours per week. (2.5 days a week)
Programming Skills: Strongproficiencyin 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. You must be willing to learn the terminology, physics, and constraints of semiconductor manufacturing.
Innovative Mindset: A self-starter who proactively looks for opportunities tooptimizelegacy processes with modern tech.
Preferred Skills
Experience with machine learning libraries (e.g., Pandas, Scikit-learn) and data visualization tools.
An understanding of basic manufacturing principles, process control, or hardware architecture.
Ability to work effectively in a fast-paced, multidisciplinary team environment.
Work Model for this Role
This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.*
intel