Back to Search
Overview
Internship

AI Software Engineering Intern

Confirmed live in the last 24 hours

Intel

Intel

Poland, Gdansk
Remote
Posted May 12, 2026

Job Description

Job Details:

Job Description: 

We're looking for a Software Development Intern to join our Software and AI team and work on the oneDNN opensource project (https://github.com/oneapi-src/oneDNN). oneDNN is a powerful, cross-platform library focused on making neural networks run faster and more efficiently. It plays an important role in Intel's AI ecosystem and is used by popular frameworks like TensorFlow, PyTorch, OpenVINO, and ONNX Runtime.
As an intern, you'll get hands-on experience developing new features and algorithms that are optimized for Intel CPUs, integrated graphics, and discrete GPUs. You'll also help improve performance for current and future Intel hardware. This includes learning about low-level performance tuning, hardware aware parallel programming, and even some assembly level optimization.

What you'll gain:

  • Real-world experience contributing to a well-known opensource project
  • Exposure to cutting edge Intel hardware and AI technologies
  • Mentorship from experienced engineers
  • Flexible working hours that fit around your studies

Qualifications:

Minimum qualifications:

  • Currently pursuing a degree (3rd or 4th year preferred) in Computer Science, Mathematics, or a related field
  • Able to work parttime for the full duration of the internship
  • Comfortable communicating in English
  • Solid C/C++ programming skills on Linux and/or Windows
  • Good understanding of algorithms and data structures
  • Strong problem solving skills with a curious and openminded mindset
  • Motivated, proactive, willing and able to learn quickly


Preferred Requirements:

  • Experience or familiarity with SYCL or CUDA
  • Background in mathematics, especially matrix-vector operations
  • Experience using version control systems such as Git and GitHub
  • Familiarity with remote development using Microsoft Visual Studio
  • Experience with Linux systems programming
  • Interest or experience in performance debugging and optimization

What We Offer:
At Intel, you come to work in a collaborative, supportive environment, where your equally brilliant colleagues will push you to be your best. There's no fear of failure-we know that's how innovation happens. And you'll never be bored.
We offer competitive benefits and pay, opportunities for professional development and the flexibility you need to achieve balance. Intel fosters a collaborative environment allowing the brightest minds in the world to come together to achieve exceptional results.

Besides regular duties you can:

  • Take advantage of various career development activities.

  • Participate in various innovation-focused activities (innovation lab, collaboration events, and patent submissions writing).

  • Have a chance to participate in Intel Great Place to Work program which gathers people who love running, cycling, squash, tennis, cross fit, photography, and many more.

Base salary is accompanied with such additional benefits as bonuses, private medical plan, life insurance, lunch coupons, and more.

          

Job Type:

Student / Intern

Shift:

Shift 1 (Poland)

Primary Location: 

Poland, Gdansk

Additional Locations:

Business group:

Silicon and Platform Engineering Group (SPE): Deliver breakthrough silicon and platform solutions that deliver industry-leading products today while also defining the next generation of computing experiences.

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.

*

ai