Qualcomm Canada ULC is seeking a researcher for the Low Power AI Solution team to advance on-device inference through model compression and system optimization. You will lead research initiatives, analyze hardware–software interactions, and collaborate with global teams to push Qualcomm’s AI accelerator capabilities. Applicants should have a PhD or MS with AI research.
Experience in neural networks, compression, compilers, and on-device deployment is essential.
📌 Embedded Systems Ai Inference Engineer Low Power Markham (Canada)
🏢 Nutanix
📍 Canada
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