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

at Intel · Industrial · Kiryat-Gat, Israel

Student role in a semiconductor manufacturing environment focused on data science and automation. Responsibilities include supporting daily operations, identifying and automating manual bottlenecks, and building AI-driven solutions for data analysis and predictive methodologies. Requires strong Python and SQL skills, analytical abilities, and willingness to learn manufacturing processes.

What you'd actually do

  1. Support day-to-day manufacturing tasks, monitor equipment/process health, and investigate excursions to ensure continuous, high-quality output.
  2. Identify manual bottlenecks in our reporting and engineering workflows and develop robust scripts to automate them.
  3. Build and implement AI-driven solutions to detect correlations and prepare data for advanced analysis, moving our team toward predictive methodologies.
  4. Bridge the gap between physical manufacturing processes and software/data engineering, learning the physics and mechanics behind the data you analyze.

Skills

Required

  • Python for data manipulation and automation
  • SQL
  • analytical skills
  • willingness to learn manufacturing terminology, physics, and constraints

Nice to have

  • machine learning libraries (e.g., Pandas, Scikit-learn)
  • data visualization tools
  • basic manufacturing principles
  • process control
  • hardware architecture

What the JD emphasized

  • AI-driven solutions
  • predictive methodologies
  • automation
  • massive, complex manufacturing databases
  • learn the terminology, physics, and constraints of semiconductor manufacturing

Other signals

  • AI-driven solutions
  • predictive methodologies
  • automation
Read full job description

Job Details:

Job Description:

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, 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 ensureproduction 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 datayou 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. 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 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.​

​

Job Type:

Shift:

Shift 1 (Israel)

Primary Location:

Israel, Kiryat-Gat

Additional Locations:

Business group:

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 require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.