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Intel Corporation

Senior Compiler Engineer - Triton and DSLs

Toronto, ON, Canada
CAN - - Toronto, Canada

CAD 155,888.00-220,069.00 · Full-time

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Job details

Pay: CAD 155,888.00-220,069.00
Job type: Full-time
Posting language: English
Posted: Oct 27, 2026

Original job description

Job Details:

Job Description:

Join Us in Shaping the Future
The world is transforming, and so is Intel. Intel is a company of bold and curious inventors and problem solvers who create some of the most astounding technology advancements and experiences in the world. With a legacy of relentless innovation and a commitment to bringing smart, connected devices to every person on Earth, our diverse and brilliant teams are continually searching for tomorrow's technology and embracing the challenge of changing the world for the better.

We work every day to design software and hardware technologies that empower modern computing. Come join us and help build the compiler technologies that drive the next generation of AI and accelerated computing.

Role Overview
Join our compiler team and lead the design, development, and optimization of AI compiler technologies for Triton, Domain Specific Languages (DSLs), and emerging AI programming models. Our teams develop software that enables high-performance execution of AI workloads across Intel CPUs, GPUs, and accelerators, enabling developers to write highly efficient kernels that power modern machine learning frameworks and high-performance computing applications.

You will work on modern compiler infrastructures including LLVM and MLIR, driving innovations that improve performance, scalability, programmability, and portability across diverse hardware architectures. This role provides opportunities to contribute to open-source ecosystems while solving challenging problems in compiler design, code generation, optimization, runtime integration, and performance engineering.

By joining us, you'll help build the software foundations that enable developers and researchers to unlock the full potential of Intel's AI and accelerator platforms while influencing the future direction of compiler technologies for heterogeneous computing.

Key Responsibilities:
• Lead the design, implementation, testing, and maintenance of compiler technologies for Triton, Domain Specific Languages (DSLs), and related AI programming models.
• Drive development of advanced compiler optimizations, analyses, and transformations that improve performance, scalability, and developer productivity.
• Own significant components of the compiler stack, including front-end, optimization, code generation, runtime integration, or tooling technologies.
• Collaborate with hardware architects, compiler engineers, AI framework developers, and performance engineers to enable new platform capabilities.
• Analyze and resolve complex functional, correctness, and performance issues across the compiler stack.
• Drive technical discussions, architecture reviews, and engineering best practices.
• Mentor junior engineers through technical guidance, design reviews, and code reviews.
• Contribute to the technical roadmap and influence the direction of compiler technologies within Intel's AI software ecosystem.
• Drive and contribute to open-source compiler projects and communities including LLVM, MLIR, Triton, and related technologies.
• Stay current with emerging technologies in compilers, AI software, developer tools, and heterogeneous computing.

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. Experience listed below would be obtained through a combination of your degree, research and or relevant previous job and or internship experiences.

Minimum Qualifications:
Bachelor's degree in Computer Science, Applied Mathematics, Computer Engineering, Informatics, or a related technical discipline and 5+ years of experience, OR Master's degree and 3+ years of experience, OR PhD and 0 years of experience.

Experience must include:
• Strong software development experience using C++/Python.
• Experience developing systems software, compiler technologies, developer tools, or performance-critical software.
• Understanding of compiler concepts, including parsing, intermediate representations, compiler optimizations, code generation, linking, and runtime interactions.
• Experience analyzing and optimizing software performance.
• Understanding of GPU programming models and parallel computing concepts.
• Demonstrated technical leadership and ownership of significant software projects.

Preferred Qualifications:
• 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 machine learning frameworks and AI workloads, including PyTorch and related ecosystems.
• Experience contributing to open-source compiler projects or technical communities.
• Knowledge of heterogeneous computing systems and accelerator architectures.
• Experience mentoring engineers and leading technical initiatives across teams.
• Experience with performance analysis, profiling tools, and optimization methodologies for AI and high-performance computing applications.

Job Type:

Experienced Hire

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 Trust

N/A

Annual Salary Range for jobs which could be performed in Canada

CAD 155,888.00-220,069.00

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:

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.

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More about this job

Responsibilities

Lead the design, development, and optimization of AI compiler technologies for Triton, DSLs, and emerging programming models. Collaborate with cross-functional teams to improve performance, scalability, and developer productivity across Intel hardware architectures.

Requirements

Requires a degree in a technical discipline with 3-5+ years of relevant experience in compiler development or systems software. Must possess strong proficiency in C++/Python and deep understanding of compiler infrastructure, GPU programming, and performance optimization.

Skills

C++
Python
Compiler design
LLVM
MLIR
Triton
GPU programming
Parallel computing
Performance optimization
Code generation
Software architecture
Technical leadership
AI frameworks
Heterogeneous computing
Profiling tools

Visa sponsorship

Not detected in the job text

Keywords

Compiler Engineer
Triton
DSL
LLVM
MLIR
AI
Accelerated computing
C++
Python
GPU
CPU
Kernel development
Machine learning
Performance engineering
Heterogeneous computing
CUDA
SYCL
OpenMP
HIP
PyTorch
Software development
Code generation
Optimization
Profiling
Open-source
Technical leadership
Systems software
Developer tools
Architecture
Intel

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