GPU Compiler Software Engineer

Develop GPU compiler software for Intel AI platforms in Toronto, combining systems programming with modern compiler infrastructure under a hybrid work model. Contribute to technologies enabling efficient machine learning framework execution.

As an Experienced Hire Compiler Engineer, you will build software for Triton, domain-specific languages, and emerging AI programming models. The work includes compiler front-end, middle-end, and code-generation contributions, alongside runtime integration and open-source participation. You will help address performance, portability, programmability, and scalability across heterogeneous hardware architectures.

Key Responsibilities:

• Design compiler features for AI programming models and DSLs
• Test and debug software supporting high-performance GPU kernels
• Create analyses and transformations that improve application performance
• Work with architects, compiler engineers, and framework developers
• Learn emerging AI software and heterogeneous computing technologies

Requirements:

• Relevant bachelor's degree plus one year of experience
• Master's degree with zero years or PhD accepted
• Strong C++ and/or Python programming background
• Debugging, problem-solving, and systems concepts familiarity
• Interest in performance optimization or programming languages

Bring systems programming and GPU performance interests to Intel's compiler engineering work supporting AI platforms in Toronto.