AI Systems Hardware Architect: Power-Performance Optimizer

MaC VC · San diego, United States

Qualcomm Technologies, Inc. seeks a highly skilled engineer to map AI workloads to Qualcomm’s next‑gen accelerator systems, optimizing power, performance and TCO across SoC, memory and networking.

The candidate will collaborate with Architecture, product management and SW teams to enable implementation strategies that meet system requirements and align workloads across datacenters, physical AI and computing devices. Location is San Diego, CA with onsite policy.