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 development
Analyze network design trends and workload requirements
Study future hardware and software trade-offs
Model high-performance algorithms for future SoCs
Collaborate across sites and functions
Requirements: Bachelor’s degree in a related technical discipline
Ability to learn, think, and adapt
Solid object-oriented design principles
Knowledge of PyTorch or ONNX platforms
Familiarity with Git, Jenkins, Docker, or Clang/MSVC
Use 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 (Ontario)
🏢 QUALCOMM
📍 Ontario