Skip to main content

Data Engineering Student

Haifa, Israel Job ID JR0230566 Job Category Intern/Student Work Mode Hybrid Experience Level Intern
Job Description

The Yield and Bin-Split Team is responsible for improving Intel's products yields and defining competitive products.
We are seeking an exceptional data engineering student that will be responsible for developing Machine Learning automations as well as data transformation services and tools.
In this job you would have a chance to impact the next generation of Intel products while expertising in ML pipelines and working with big data.


o Data engineering student with at least 1.5 years till graduation
o Highly motivated
o Available to work at least 20 hours a week

Inside this Business Group
In the Design Engineering Group (DEG), we take pride in developing the best-in-class SOCs, Cores, and IPs that power Intel’s products. From development, to integration, validation, and manufacturing readiness, our mission is to deliver leadership products through the pursuit of Moore’s Law and groundbreaking innovations.  DEG is Intel’s engineering group, supplying silicon to business units as well as other engineering teams.  As a critical provider of all Intel products, DEG leadership has a responsibility to ensure the delivery of these products in a cost efficient and effective manner.

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.
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, and benefit programs. Find more information about our Amazing Benefits here:

Working Model
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. In certain circumstances the work model may change to accommodate business needs.
Maggie, Offensive Security Researcher

Maggie Offensive Security Researcher

“I’ve always wanted to do something that changes the world — at Intel, I feel appreciated, and I’ve gained more confidence in myself. It makes me feel like I’m capable of doing great things.”

  • Software Engineering Student Multiple Locations Apply Now
  • Architecture Student Multiple Locations Apply Now
  • Backend Hardware student Multiple Locations Apply Now
View All Jobs

No jobs have been viewed recently.

View All Jobs

No jobs have been saved.

View All Jobs