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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.
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