Qualcomm Canada ULC is seeking a machine learning engineer focused on mapping high-level operators to low-level hardware instructions for a low-power AI accelerator. You will optimize graphs, scheduling, memory planning and operator implementations to improve inference efficiency on Qualcomm hardware. The role requires solid C/C++ skills, Linux/Android experience, and knowledge of embedded systems. Experience with major ML frameworks and a Master's degree are preferred.
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📌 Embedded ML Engineer — C/C++, Low-Power AI (Markham)
🏢 QUALCOMM
📍 Markham
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