Qualcomm seeks a Senior AI Performance Architect to design hardware accelerator architectures optimized for AI training at scale. The role involves analyzing GPU/accelerator architectures, defining computational blocks supporting multiple datatypes and precisions, architecting memory and scale-out systems, and codesigning hardware with software/LLM requirements.… Responsibilities include competitive analysis, performance modeling, and pre-silicon prediction for ML training workloads. The ideal candidate spans software architecture, algorithm development, kernel optimization, and hardware accelerator design.