09 Aug
|
Nutanix
|
Markham
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)
🏢 Nutanix
📍 Markham