ML/AI Compiler Engineer: Frameworks & Performance

Qualcomm Canada ULC is advancing on-device AI by developing ML/AI compilers for efficient mapping of workloads on Qualcomm hardware. You will contribute to compiler development, optimize performance and power, and study ML workloads to inform future HW/SW features, with a focus on PyTorch integration and cross-functional collaboration. The role requires a strong background in algorithms, performance analysis, and programming in C++/Python, with experience in ML frameworks and compiler flows.

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