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
We offer a total compensation package that ranks among the best in the industry. The minimum Annual Salary for this job which could be performed in Poland is: 68 880,00 zł. 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. 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.
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)
