AI Frameworks Intern

Job description

Job Details: Job Description: Join Intel's PyTorch enablement team as an intern and help bring Intel datacenter and integrated GPU acceleration to one of the world's most widely used deep learning frameworks. You will work alongside experienced engineers on PyTorch and PyTorch ecosystem open-source projects such as torch-xpu-ops, gaining real hands-on experience in deep learning and machine learning framework internals, GPU compute software stacks, and platform engineering - with your code shipping in a project used by millions of developers worldwide. Your responsibilities will include: • Implementing, debugging, and testing PyTorch operators/kernels for the Intel GPU (XPU) backend - primarily in Python, C++ with some SYCL • Investigating and fixing OS-specific builds, tests, and runtime issues in PyTorch and ecosystem projects such as torch-xpu-ops • Writing and maintaining unit tests; triaging and root-causing CI failures • Collaborating directly with the upstream open-source PyTorch community (GitHub PRs, code reviews, design discussions) • Documenting findings and contributing to the team's internal knowledge base Qualifications: Minimum Qualifications • Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field; completion of at least the first two years of study is preferred • Solid knowledge and hands-on writing experience in Python • Basic working knowledge of C/C++ • Familiarity with machine learning and deep learning concepts, backed up with personal passion • Experience using AI/ML frameworks such as PyTorch, TensorFlow, JAX, or similar • Knowledge of Git and collaborative software development practices • Able to make best use of AI assistance for software development, including agentic AI tools and frameworks (e.g., Microsoft Copilot, Claude Code, OpenCode) • Strong analytical and debugging mindset Preferred Qualifications • Hands-on experience developing AI/ML projects through coursework, research, hackathons, internships, or open-source contributions • Knowledge/exposure to GPU programming concepts (CUDA, SYCL, OpenCL) • Experience developing/debugging on Linux and Windows • Any prior open-source contribution (GitHub PRs, issue triage) • Familiarity with CI/CD tooling (Jenkins, GitHub Actions) We invite you to explore this opportunity to grow your skills, collaborate with innovative teams, and contribute to impactful projects in a supportive and dynamic environment. Apply now to begin your journey with Intel. Job Type: Student / Intern Shift: Shift 1 (Poland) Primary Location: Poland, Gdansk Additional Locations: 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