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Open nowPosted 107 days ago

高性能存储研发专家(R11686)

agirobot/referral515 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now高性能存储研发专家(R11686)agirobot/referral · Shanghai, Chinese Mainland
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12.1% of postings close within 7 days. Measured by our own scanner across the market. agirobot/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. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 107 days ago

agirobot/referral median: 1 days open

The posting

1. 3FS 深度定制与优化:基于 DeepSeek 开源的 3FS(Fire-Flyer File System)架构,进行深度的二次开发与性能调优。重点优化 FUSE 客户端、元数据服务(Meta Service)及存储引擎(Storage Service),完善基于对象存储的缓存机制,结合 IB / RoCE 高性能网络,实现低延迟、高吞吐的数据访问能力,消除 AI 训练与推理场景中的 I/O 瓶颈。 2. 异构资源存储化:探索并落地 GPU 直通存储(GPUDirect Storage, GDS)技术,基于 3FS 框架扩展存储后端,设计并实现一个轻量级共享存储层。旨在高效利用集群中 GPU 节点上的闲置 NVMe 数据盘,显著降低基础设施成本。 3. 存储栈内核级调优:针对大规模分布式存储系统进行全栈优化,包括 RDMA 协议栈参数调优、VFS/FUSE 内核交互逻辑优化以及内存管理策略调整,确保在高并发、大数据量场景下系统的稳定性与 SLA。 4. 技术演进与落地:跟进高性能计算(HPC)及云原生存储的前沿架构,将业务痛点(如 Checkpointing 慢、小文件加载难)转化为具体的存储解决方案,并推动在生产环境落地。

1. 编程能力:精通 C/C++ 或 Rust(具备 Rust 工程经验者优先),具备深厚的 Python/Go 开发能力;拥有扎实的计算机系统基础(操作系统、编译原理、计算机网络)。 2. 高性能网络:深入理解 InfiniBand (IB) 或 RoCE 网络架构,具有 RDMA、Zero-copy、Kernel Bypass 等相关技术的实战研发经验。 3. 分布式存储内核:熟悉主流分布式存储架构(如 Ceph、Lustre、DAOS 等),了解 Alluxio、JuiceFS 等缓存层设计;有对象存储(S3 兼容)或文件系统(POSIX)的深度开发经验;有 3FS 或其他高性能文件系统源码阅读经验者优先。 4. 硬件与系统底层:熟悉 NVMe 协议及 SSD 特性,了解 PCIe P2P、DMA 等技术;有 Linux 内核开发或存储驱动开发经验者优先。 5. AI 基础设施经验:熟悉 AI 训练/推理流程,深刻理解 Checkpointing、Dataset Loading 对存储的性能诉求,具备相关优化经验。

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