Join Us in Shaping the Future
At Intel, we are building the next generation of software technologies that unlock the potential of heterogeneous computing. Our compiler technologies help developers harness CPUs, GPUs, and accelerators through high-performance, portable software. As an intern, you will contribute to an open ecosystem that advances performance, scalability, reliability, and developer productivity for AI, HPC, and other demanding workloads, while supporting Intel’s commitment to contributing to and collaborating with open-source communities.
The Team
The Intel Compiler Engineering Team develops LLVM-based C, C++, SYCL, Triton, MLIR, Domain Specific Languages (DSLs), and Fortran compiler technologies for Intel processor platforms, including CPUs and GPUs. The team works across the compiler stack and in close collaboration with hardware architecture teams, covering language front ends, intermediate representations, optimization, code generation, debug information, runtimes, offload support, quality, and developer tooling. This work connects Intel hardware and compiler capabilities with AI frameworks and software ecosystems such as PyTorch, inference engines, and machine-learning models. You will collaborate with experienced engineers and contribute to open-source communities while learning how production compilers are designed, tested, optimized, and delivered.
Position Overview
We are hiring a Compiler Engineer Intern to contribute to Intel’s compiler software stack. You will work with experienced compiler and hardware architecture engineers on an engineering or research project that may involve compiler features, MLIR-based intermediate representations, Triton or other Domain Specific Languages (DSLs), optimization, code generation, runtime or offload support, debug information, testing infrastructure, performance analysis, or developer tools. Projects may connect hardware capabilities to AI frameworks such as PyTorch, inference engines such as vLLM and SGLang, and machine-learning model ecosystems such as DeepSeek, Hugging Face, and Qimi. You will investigate technical problems, implement and test solutions, analyze results, and communicate findings to the team. This opportunity is designed for a graduate student who can apply deeper technical expertise to an ambiguous engineering or research problem, evaluate alternatives, and deliver a well-supported solution or prototype.
Responsibilities
• 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, as applicable to the project.
• Participate in code reviews, technical discussions, and project planning with mentors and team members.
• Document designs, experiments, results, and lessons learned, and present project outcomes to the team.
• Contribute to open-source projects when aligned with the assigned work.