
Enflame supplies high-performance deep learning chips and integrated computing systems for cloud AI training. It designs programmable AI accelerators with a proprietary architecture optimized for…

Enflame supplies high-performance deep learning chips and integrated computing systems for cloud AI training. It designs programmable AI accelerators with a proprietary architecture optimized for…
该职位来源于猎聘 职位职责:
负责燧原AI服务器芯片的Multi-Die/Chiplet 系统需求拆解、架构规划和设计,制定D2D(Die to Die) 互联架构方案 2.
定义下一代云端AI芯片的Multi-Die/Chiplet 系统架构,拉通计算Core、NoC、Memory、SoC和Package架构团队合作,专注于提高并行计算下Multi-Die/Chip的关键性能包括时延、带宽、互联效率、功耗等 3.
分析关键应用负载(AI 大模型、多模态、搜广推等),构建仿真模型以预测未来D2D架构演进的性能和可靠性
职位要求: 1.
EE/CS硕士或更高学位,具有计算机体系结构专业知识 2.
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10年以上芯片架构/设计经验,尤其是具有大算力 AI或GPU Chiplet芯片项目经验为佳。 3.
熟悉C/C++和处理器建模者优先,熟悉性能建模、优化、低功耗设计等。 4.
熟悉AI芯片NoC/Chiplet 协议,包括NvLink-HBI、CHI-C2C、XSR、UCIE、CXL等,熟悉NoC/Cache一致性。 5.
有AI领域芯片架构和设计经验及自研D2D IP(Controller/PHY)经验优先。