Triton Compiler Optimization Engineer

Optimize Triton and AI programming models with LLVM and MLIR at Intel, working hybrid from Toronto on high-performance GPU execution. Help improve software portability, scalability, and developer productivity across emerging hardware.

This Experienced Hire Compiler Engineer contributes to compiler design, development, and optimization for domain-specific languages and AI software. You will address code generation, compiler analyses, transformations, runtime integration, and performance optimization. Collaboration with hardware architects, compiler engineers, and AI framework developers supports new platform capabilities and open-source ecosystems.

Key Responsibilities:

• Implement, test, and debug Triton compiler features
• Optimize compiler transformations for performance and scalability
• Develop code-generation technologies for diverse hardware architectures
• Collaborate on new capabilities with hardware and framework teams
• Apply emerging technologies in compilers and heterogeneous computing

Requirements:

• Bachelor's degree with one year, master's degree, or PhD
• Strong C++ and/or Python programming experience
• Problem-solving and debugging proficiency
• Familiarity with computer architecture or systems software concepts
• Interest in programming languages, AI, or compiler technologies

Use Triton, LLVM, MLIR, and optimization expertise to help Intel deliver scalable AI compiler technologies in Toronto.