Sr. Cloud AI Infrastructure Engineer

Job description

Business Unit What the Role Entails: 1.Architecture Research: Conduct in-depth research into the underlying hardware logic of various AI accelerators ; evaluate the power-efficiency ratio and suitability of different heterogeneous architectures in the context of Large Language Model (LLM) inference and training. 2.Operator & Performance Optimization: Design and optimize high-performance operator libraries for large-scale cloud computing environments; resolve long-tail latency issues in hardware scheduling, memory management, and distributed communication. 3.Interconnect Architecture Definition: Define the interconnect architecture ; drive the virtualization, standardized access, and efficient pooling of heterogeneous computing resources in the cloud. 4.Technology Trend Analysis: Monitor global trends in semiconductors and accelerators; perform feasibility studies and experimental validation for the implementation of emerging technologies within cloud infrastructure. Who We Look For: 1.Education: Master’s or Ph.D. degree in Computer Engineering, Electronic Engineering, Microelectronics, or a related field. 2.Core Expertise: Expertise in GPGPU architectures or other mainstream AI acc...