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 DSLsTest and debug software supporting high-performance GPU kernelsCreate analyses and transformations that improve application performanceWork with architects, compiler engineers, and framework developersLearn emerging AI software and heterogeneous computing technologiesRequirements:
Relevant bachelor's degree plus one year of experienceMaster's degree with zero years or PhD acceptedStrong C++ and/or Python programming backgroundDebugging, problem-solving, and systems concepts familiarityInterest in performance optimization or programming languagesBring systems programming and GPU performance interests to Intel's compiler engineering work supporting AI platforms in Toronto.
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