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About the role

  • Triton Compiler Engineer developing software tools for domain-specific programming languages and Intel GPU components. Collaborating with design teams and contributing to optimization efforts.

Responsibilities

  • Define, design, develop, test, debug, release, enhance, and maintain software tools for domain-specific programming languages
  • Work directly with hardware design teams, compiler development companies, and programming communities
  • Participate in language and standards groups
  • Design and implement Triton compiler front-end and back-end components
  • Develop optimization passes for supported kernels

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering or related field and 4+ years of experience in GPU programming for AI Workload OR Master's in Computer Science, Computer Engineering or related field and 2+ years of experience in GPU programming for AI Workload OR PhD in Computer Science, Computer Engineering or related field and 1+ years of experience in GPU programming for AI Workload.
  • Programming skills in C, C++, and Python
  • Experience with compiler stages, code generation, and optimization techniques
  • Experience with GitHub development environment
  • Familiarity with PyTorch attention techniques for transformer models.
  • Preferred Qualifications: Experience with LLVM, MLIR, and Triton compiler architecture.

Benefits

  • Accommodation for applicants and employees with disabilities
  • Commitment to accessibility and ethical hiring practices.

Job title

Job type

Full Time

Experience level

Mid levelSenior

Salary

CA$133,922 - CA$189,066 per year

Degree requirement

Bachelor's Degree

Tech skills

PythonPyTorch

Location requirements

RemoteCanada

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