Shape Qualcomm machine learning systems in Markham by connecting PyTorch, compilers, and hardware performance analysis across evolving designs.As a Machine Learning Engineer on Qualcomm’s ML Systems Team, you will help map ML/AI algorithms onto existing and future hardware. You will study network design trends, customer needs, and academic research affecting software and hardware. The work also includes software development practices, architecture analysis, and cross-functional collaboration.Key Responsibilities:
Contribute to production and exploratory compiler developmentAnalyze network design trends and workload requirementsStudy future hardware and software trade-offsModel high-performance algorithms for future SoCsCollaborate across sites and functionsRequirements:
Bachelor’s degree in a related technical disciplineAbility to learn, think, and adaptStrong object-oriented design principlesKnowledge of PyTorch or ONNX platformsFamiliarity with Git, Jenkins, Docker, or Clang/MSVCUse machine learning systems, compiler, framework, and architecture knowledge to support Qualcomm’s next-generation ML engineering work.
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📌 Machine Learning Systems Engineer (Winnipeg)
🏢 QUALCOMM
📍 Winnipeg