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About This Role
- 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.
Benefits
- Your recruiting team will provide the confirmed base salary along with any applicable total compensation elements upon employment offer delivery.
Sourced directly from Intel’s career page
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Specialisation
Open roles at Intel
666 positions
Job ID
/job/Poland-Gdansk/AI-Frameworks-Intern_JR0287895
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