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Open nowPosted 515 days ago

大模型算力负责人

vrfi1sk8a0/referral187 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now大模型算力负责人vrfi1sk8a0/referral · Shanghai, Chinese Mainland
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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. vrfi1sk8a0/referral postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 515 days ago

vrfi1sk8a0/referral median: 1 days open

The posting

1. 算力中心规划与建设(核心职责) — Lead 大模型训练/推理场景下的算力中心端到端建设:包括高性能网络拓扑设计(IB/RoCE 组网方案)、集群组网与超节点架构设计、服务器选型规划,从源头规避系统性故障风险,交付高可用、高性能的 AI 基础设施 2. 平台与硬件持续演进 — 参与 GPU 算力池化与调度、基础设施管理平台(资产/容量/故障自愈/可观测性)建设,跟踪 GPU/网络/存储技术演进并推动硬件选型与架构优化,持续降低 TCO

1. 5 年以上云计算/IDC/服务器硬件/网络基础设施相关经验,深入理解计算机体系结构 2. 在以下方向中至少一个有深入的设计或研发经验:GPU 服务器架构设计、高速网络(IB/RoCE/NVLink/NVSwitch)、交换机研发、超节点架构设计 3. 熟悉主流 AI 训练/推理基础设施生态(NVIDIA DGX/HGX/GB200 NVL、集合通信、NCCL 等),了解大模型训练对基础设施的核心需求 4. 具备跨团队项目推动经验和良好的沟通领导力,能协调硬件、网络、软件等多方团队

加分项 1. 有万卡级 AI 算力集群的规划、建设或运营经验,主导过算力中心从 0 到 1 的落地 2. 有交换机研发、超节点架构设计、或服务器整机架构设计经验 3. 有新一代 AI 芯片/加速卡的适配设计经验(如华为昇腾/海思、国产 GPU 等) 4. 有头部云厂商或 AI 公司基础设施团队背景

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