Compiler Engineering Intern

Intel

Canada, TorontoPosted 3 days agoDiscoveredMatch locked

Full time

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:

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

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 Trust N/A Annual Salary Range for jobs which could be performed in Canada

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

Intel is committed to a culture of accessibility. Intel provides accommodations to applicants and employees with disabilities. Find information and request accommodation here .

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

Not included in the source posting: benefits.

Skills

artificial-intelligencecpytorchgitlinux

Who can apply

The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.

Read automatically from the employer's posting text. Always confirm with the employer — requirements can change after a job is published.