Compiler Engineering Intern

Location: Canada, Toronto

Job Details

Job Description

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.

About 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 a scoped project that may involve:

Compiler features or MLIR-based intermediate representations

Triton or other Domain Specific Languages (DSLs)

Optimization, code generation, runtime, or offload support

Debug information or testing infrastructure

Performance analysis or developer tools

Projects may involve connecting software capabilities to AI frameworks such as PyTorch, inference engines such as vLLM and SGLang, and machine-learning models such as DeepSeek, Hugging Face, and Kimi.

You will investigate technical problems, implement and test solutions, analyze results, and communicate findings to the team. This opportunity is designed for an undergraduate student who wants to build practical compiler-engineering experience and apply foundational computer science concepts to production software.

Key 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

To Be Successful in This Role

You should demonstrate the following professional traits

Curiosity and willingness to learn unfamiliar technologies

Strong analytical, problem-solving, and debugging skills

Clear written and verbal communication

Qualifications

This position is not eligible for intel immigration sponsorship.

Minimum Qualifications

Currently pursuing a Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Informatics, or a related technical discipline

3+ months of coursework or project experience in data structures, algorithms, computer architecture, operating systems, programming languages, or compiler construction

Experience programming in C++ through coursework, research, personal projects, or prior internships

Experience using software development and debugging tools in a Linux or similar development environment

Preferred Qualifications

Compiler-related coursework or project experience, including parsing, intermediate representations, optimization, code generation, or runtimes

Hands-on compiler development experience with LLVM, MLIR, Triton, GCC, Clang, or similar compiler frameworks

Experience with GPU programming models such as CUDA, SYCL, OpenMP, or HIP

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 model ecosystems such as DeepSeek, Qwen, and Kimi

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 such as code, patches, reviews, research, publications, or substantial academic projects

Job Type:Student / Intern

Shift:Shift 1 (Canada)

Primary Location: Canada, Toronto

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 veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/A

Annual Salary Range for jobs which could be performed in Canada

Salary range dependent on a number of factors including location and experience.

Work Model for this Role

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. * Job posting details (such as work model, location or time type) are subject to change.Canada Accommodation:

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