Compiler Engineering Intern - SYCL Runtime
IntelCanada, TorontoPosted 27 March 2026
Job Description
Job Details:
Job Description:
At Intel, we are building the next generation of software innovation through the oneAPI software stack, a unified programming model designed to unlock the full potential of heterogeneous computing. Our team is at the forefront of enabling developers worldwide to harness CPUs, GPUs, and accelerators with cutting-edge tools, libraries, and compilers.
By joining us, you'll contribute to an open ecosystem that drives performance, scalability, and portability across diverse architectures—empowering breakthroughs in AI, HPC, and beyond. If you're passionate about transforming how the world computes and want to work on technology that truly matters, this is your opportunity to make an impact.
The Intel Compiler Engineering Team is a high‑performing group responsible for creating the industry‑leading Intel C/C/DPC and Fortran Compilers and is a leader in LLVM.org, the foundation of our compiler products. We continually push the boundaries of compiler technology to provide maximally useful and performant compilers for all of Intel’s processor platforms, both CPUs and GPUs.
We’re hiring a Compiler Engineering Intern to support the development of Intel's open‑source compiler stack across CPU and GPU/accelerator runtimes. In this role, you will work with experienced engineers to analyze runtime behavior, contribute to feature development, and evaluate optimizations that enable portable, high‑performance offload.
You’ll gain hands‑on experience with technologies such as LLVM, SYCL, and OpenMP while learning how compiler runtimes integrate across the hardware–software stack to deliver strong performance and reliability for AI and HPC workloads.
Qualifications:
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
Minimum Qualifications
• Pursuing a Bachelor’s degree in Computer Science, Computer Engineering or a related field
• 6 months of experience with C/C
This position is not eligible for Intel Immigration Sponsorship
Preferred Qualifications
• Good understanding of systems programming
• 1 years of hands-on compiler development experience
1 years of experience with accelerated computing and parallel programming models
• Demonstrated history of technical contributions to LLVM.org (commit history, patches, reviews)
• Hardware knowledge: understanding of modern GPU architectures and compilation targets
• Experience with LLVM sub-projects (Clang, Flang, etc.)
• Hands-on experience building compilers or compiler components using the LLVM framework, including optimization passes, code generation, or frontend integration
• Ability to analyze and optimize language runtimes, scheduling, and memory models to ensure Intel's software stack delivers industryleading performance across heterogeneous architectures (CPU, GPU, and accelerators).
• SYCL/DPC compiler development
• Extensive experience with offload programming models
• OneAPI, or other similar vendor toolchain development experience.
Job Type:
Student / Intern
Shift:
Shift 1 (Canada)
Primary Location:
Canada, Toronto
Additional Locations:
Business group:
The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to sup ... (truncated, view full listing at source)
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