Qualcomm Canada ULC in Ontario seeks a researcher to advance productive on-device AI, focusing on model compression, quantization, and neural network architecture for low-power accelerators. You will lead research initiatives and collaborate with global teams.
You will prototype system solutions with software-hardware co-design, align dataflows and memory usage, and aim to deploy production-ready ML solutions with real-world impact.
#J-18808-Ljbffr
📌 Staff Embedded ML Engineer — Low-Power On-Device AI (Markham)
🏢 Socket.dev
📍 Markham
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.