Compiler Engineering Intern

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** Welcome!**## .Compiler Engineering Intern page is loaded## Compiler Engineering Intern locations:
Canada, Toronto time type:
Full time posted on:
Posted Todayjob requisition :
JR0281251#
** Job Details:**##

Job Description:

At Intel, we're advancing the next generation of foundational software through hardware–software co‐design, building state-of-the-art compilers for AI and machine learning models that unlock the full potential of heterogeneous computing. Our work empowers developers worldwide to take advantage of CPUs, GPUs, and accelerators through cutting-edge tools, libraries, and compilers. By joining our efforts, you’ll contribute to an open ecosystem that drives performance, scalability, and portability across diverse architectures, enabling breakthroughs in AI, high‐performance computing, and more.

If you’re passionate about transforming computing technology and making a meaningful impact, this is an opportunity to be part of innovations that truly matter. The Intel Compiler Engineering Team is a high-performing group responsible for creating the industry-leading Intel C/C++/DPC++ and Fortran compilers. As an active leader within LLVM.org—the foundation of our compiler products—we continually push the boundaries of compiler technology to deliver powerful and efficient compilers across all Intel processor platforms, from CPUs to GPUs.

We are hiring a Compiler Research and Development Intern to support the co‐design of next‐generation Intel CPU and GPU architectures through compiler innovation aimed at AI and machine-learning model optimization. In this role, you will collaborate with experienced engineers to collect and analyze AI performance data on Intel architectures, contribute to both hardware and software features that improve AI workload performance, and evaluate how compiler optimizations influence hardware design.

You’ll gain hands‐on experience with technologies such as LLVM, SYCL, and CUDA while learning how compilers and runtimes integrate across the hardware–software stack to deliver strong performance and reliability for AI workloads.##
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* 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
*** Currently pursuing a Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, or a related field
* 3+ months of experience with accelerated computing and parallel programming models
** Preferred Qualifications
*** Hands-on experience building compilers or compiler components using the LLVM framework, including optimization passes, code generation, or frontend integration•
* Demonstrated ability to analyze and optimize AI models, language runtimes, scheduling, and memory models to deliver industry-leading performance across heterogeneous architectures (CPU, GPU, and accelerators)
* SYCL/DPC++ and CUDA programming experiences for accelerated computing on GPUs
• Hardware knowledge from modern CPU/GPU architecture and memory system courses and projects
* Compiler knowledge from modern compiler construction courses and projects
* 3+ months of hands-on AI model optimization experience using PyTorch for LLM models
* Knowledge of C/C++, CUDA, and SYCL languages with strong understanding of kernel programming## 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…