AI Software Engineering Intern

Job Description:

Job Details:

Job Description:

Our team focuses on analyzing and optimizing AI workloads for both current and next-generation GPU hardware.
We work closely with the OpenVINO framework, developing new features and graph-level optimizations to push performance toward theoretical hardware limits.
In parallel, we collaborate in a pre-silicon environment with hardware architects and simulation teams to validate upcoming GPU designs and provide early performance insights.

We are seeking a highly motivated AI Software Engineering Intern to join our team. In this role, you will analyze and optimize AI model performance on Windows and Linux platforms, leverage GPU hardware to accelerate compute, and work cross-functionally with software and hardware architecture teams. Your work will directly influence GPU performance, software capabilities, and future product directions.

Key Responsibilities
* Analyze and optimize AI models from GPU efficiency perspective using post- and pre-silicon tools.
* Contribute to the development of the software stack written in Python and C++.
* Implement and optimize GPU kernels with help of parallel programming languages.
* Document code and analysis processes clearly and thoroughly.

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.

Qualifications:

Minimum qualifications:
* Current student status and availability to remain student during the length of our internship
* Solid programming skills in C++ and Python
* Coursework or hands-on projects using popular AI/ML frameworks such as PyTorch, TensorFlow, or openVINO
* Basic understanding of how neural network architectures map to hardware-accelerated inference (e.g., GPUs, NPUs, or specialized accelerators)
* Interest or initial experience in AI hardware accelerators, GPU programming, or heterogeneous computing
* Strong problem-solving skills, eagerness to learn, and high attention to detail

Preferred Qualifications:
* Understanding of parallel programming concepts or introductory experience with GPU programming (e.g., CUDA, OpenCL, threading, multiprocessing)
* Familiarity with GPU profiling or debugging tools (e.g., NVIDIA Nsight, CUDA Toolkit, clintercept)
* Experience working with Git and collaborative coding workflows (GitHub, GitLab, etc.)
* Previous AI/ML class projects, personal projects, or participation in hackathons or research groups

Job Type:
Student / Intern

Shift:
Shift 1 (Poland)

Primary Location:
Poland, Gdansk

Additional Locations:

Business group:
The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics.

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