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1 день назад

Compiler Engineer - Triton and DSLs (AI)

114 890 - 162 190CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
Canada
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Описание вакансии

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TL;DR
Compiler Engineer - Triton and DSLs (AI): Designing, implementing, and optimizing compiler technologies for Triton, domain-specific languages, and emerging AI programming models with an accent on GPU kernel performance, compiler infrastructure, and heterogeneous computing. Focus on developing code generation and optimization features, integrating runtimes, collaborating across hardware and AI framework teams, and contributing to LLVM, MLIR, and open-source compiler ecosystems.

Location: Toronto, Canada; hybrid work model with time split between the assigned Intel site and off-site work.

Annual salary: CAD 114,890–162,190, depending on location and experience.

Company

Intel develops technology and software platforms for connected devices, AI, accelerators, and high-performance computing.

What you will do

  • Design, implement, test, and debug compiler features for Triton, DSLs, and related programming models.
  • Develop compiler optimizations, analyses, and transformations that improve application performance and scalability.
  • Contribute to compiler front-end, middle-end, and code-generation technologies.
  • Collaborate with hardware architects, compiler engineers, and AI framework developers to enable new platform capabilities.
  • Contribute to open-source compiler projects and communities where appropriate.
  • Apply emerging technologies in compilers, AI software, and heterogeneous computing.

Requirements

  • Bachelor's degree in Computer Science, Applied Mathematics, Computer Engineering, Informatics, or a related technical discipline plus 1+ years of experience; or a Master's degree with 0+ years of experience; or a PhD.
  • Strong programming experience in C++ and/or Python.
  • Strong problem-solving and debugging skills.
  • Familiarity with computer architecture, operating systems, or systems software concepts.
  • Interest in compiler technologies, programming languages, AI software, or performance optimization.

Nice to have

  • Experience with LLVM, MLIR, Triton, GCC, Clang, or similar compiler frameworks.
  • Experience with GPU programming models such as CUDA, OpenMP, SYCL, or HIP.
  • Knowledge of machine learning, AI frameworks, or high-performance computing applications.
  • Experience analyzing and optimizing software performance.
  • Experience contributing to open-source projects.

Culture & Benefits

  • Hybrid work model combining on-site work at the assigned Intel site with off-site work.
  • Opportunity to contribute to open-source compiler ecosystems.
  • Accessibility accommodations are available for applicants and employees with disabilities.
  • Employment is subject to ethical hiring practices, with no recruitment or employment-related fees charged to candidates.

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