Compiler Engineering Intern

Intel is a technology company building software technologies for heterogeneous computing, including compiler technologies for CPUs, GPUs, and accelerators. The Compiler Engineering Team develops LLVM-based compiler technologies for Intel processor platforms and collaborates with hardware architecture teams and AI frameworks such as PyTorch. The role is based in Gdansk, Poland.

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Informatics, or related technical discipline with at least 1 year of remaining student status.
• Coursework or project experience in data structures, algorithms, computer architecture, operating systems, programming languages, or compiler construction.
• Experience programming in C or C++ through coursework, research, personal projects, or internships.
• Experience using software development and debugging tools in a Linux or similar environment.

Nice to have:

• Compiler-related coursework or projects including parsing, intermediate representations, optimization, code generation, or runtimes.
• Familiarity with LLVM, MLIR, Clang, Flang, SYCL/DPC++, Triton, OpenMP, CUDA, or other compiler/parallel-programming ecosystems.
• Knowledge of CPU or GPU architecture, heterogeneous computing, or systems programming.
• Familiarity with AI frameworks such as PyTorch, inference engines such as vLLM and SGLang, and machine-learning ecosystems like DeepSeek, Hugging Face, and Qimi.
• Tile-based programming model knowledge.
• GPU Compute kernel writing experience.
• Experience with Git, automated testing, continuous integration, performance analysis, or open-source development.
• Technical contributions like code, patches, reviews, research, publications, or academic projects.

• Contribute to the design, implementation, testing, or analysis of compiler and runtime technologies.
• Develop and debug software in C or C++ within a large, collaborative codebase.
• Create or improve tests, reproduce defects, analyze failures, and help deliver reliable solutions.
• Evaluate functional correctness, compile-time behavior, runtime performance, or code quality.
• Participate in code reviews, technical discussions, and project planning.
• Document designs, experiments, results, and lessons learned; present outcomes to the team.
• Contribute to open-source projects aligned with assigned work.

Applicants will receive consideration without regard to various protected characteristics as per local laws and regulations.