Qualcomm
Santa Clara, CA, USA
General Summary: Today, more intelligence is moving to end devices, and mobile is becoming a pervasive AI platform. At the same time, data centers are expanding AI capability through widespread deployment of ML accelerators. Qualcomm envisions making AI ubiquitous - expanding beyond mobile and powering other end devices, data centers, vehicles, and things. We are inventing, developing, and commercializing power-efficient on-device AI, edge cloud AI, data center and 5G to make this a reality. We are looking for AI Accelerator Architecture Engineers to drive functional, performance and power enhancements into the HW to enable state of the art training capabilities. AI inference and training systems must scale to a large number of accelerators, servers and racks. Our devices must be designed to scale to handle the largest of today's models. The AI Architecture team is comprised of experts that span the full gamut from software architecture, algorithm development, kernel...
