Skip to content

Open nowPosted 45 days ago

高性能存储平台工程师

agirobot/referral515 open roles

Where
Shanghai, Chinese Mainland
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen now高性能存储平台工程师agirobot/referral · Shanghai, Chinese Mainland
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on agirobot/referral's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.8% 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. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 45 days ago

agirobot/referral median: 1 days open

The posting

职位概述 参与智元具身智能云平台的存储基础设施建设,负责分布式文件系统、容器存储接入、缓存与性能优化。围绕训练数据、模型产物及检查点的读写需求,建设稳定、易接入、可扩展的存储服务,支持研发团队高效使用和管理数据。 主要职责 1. 负责CephFS、JuiceFS或同类分布式文件系统的方案设计、集成与维护,完善容量扩展、配置管理和服务升级能力,保障共享存储稳定运行。 2. 建设基于CSI的容器存储接入能力,完善卷申请、挂载、回收及权限隔离机制,与计算和平台团队协作,提升资源申请与交付流程的可靠性。 3. 围绕训练数据读取和Checkpoint写入分析存储访问特征,优化并发吞吐、元数据和小文件性能,建立可复现的测试基准及瓶颈定位方法。 4. 设计并优化NVMe等缓存和数据预热方案,结合命中率、数据一致性及容量成本验证效果,减少远端读取开销,改善训练任务的数据访问体验。 5. 完善数据持久性、备份恢复、故障切换和生命周期管理能力,按场景落实访问控制与容量策略,通过恢复演练验证数据完整性和服务恢复效果。 6. 建设存储容量、延迟、吞吐和健康状态的监控与自动化工具,配合SRE团队完善告警及变更流程,推动问题闭环和容量规划持续改进。

承担主要目标/关键任务 1. 负责CephFS、JuiceFS或同类分布式文件系统的方案设计、集成与维护,完善容量扩展、配置管理和服务升级能力,保障共享存储稳定运行。 2. 建设基于CSI的容器存储接入能力,完善卷申请、挂载、回收及权限隔离机制,与计算和平台团队协作,提升资源申请与交付流程的可靠性。 3. 围绕训练数据读取和Checkpoint写入分析存储访问特征,优化并发吞吐、元数据和小文件性能,建立可复现的测试基准及瓶颈定位方法。 4. 设计并优化NVMe等缓存和数据预热方案,结合命中率、数据一致性及容量成本验证效果,减少远端读取开销,改善训练任务的数据访问体验。 5. 完善数据持久性、备份恢复、故障切换和生命周期管理能力,按场景落实访问控制与容量策略,通过恢复演练验证数据完整性和服务恢复效果。 6. 建设存储容量、延迟、吞吐和健康状态的监控与自动化工具,配合SRE团队完善告警及变更流程,推动问题闭环和容量规划持续改进。

任职要求 1. 教育背景:本科及以上学历,计算机、软件工程、电子信息等相关专业优先。 2. 工作经验:3年以上分布式存储、文件系统或存储平台研发经验,能够独立承担部署、集成和性能优化工作;5年以上相关经验,具备存储架构设计或复杂故障处理经历者优先。 3. 理解分布式文件系统、数据一致性及可靠性原理,熟悉CephFS、JuiceFS或同类系统中的至少一种,具有实际部署、集成或维护经验。 4. 熟悉Linux文件系统、网络存储和IO分析方法,能够结合系统指标、访问负载及压测结果定位吞吐、时延、元数据或容量瓶颈。 5. 了解Kubernetes存储模型与CSI机制,具备共享卷、动态供给、挂载排障或权限隔离相关经验,能够处理容器与底层存储之间的集成问题。 6. 掌握Go、Python或C++等至少一种编程语言,具备自动化工具开发和问题验证能力,重视数据完整性、变更风险及跨团队沟通。 加分项 1. 具有AI训练、海量小文件或高并发共享存储实践,参与过数据预热、多级缓存或检查点读写优化,能够说明性能测量方法与优化收益。 2. 具有分布式文件系统、CSI驱动或存储开源项目贡献经验,或具备备份恢复、故障演练、容量治理及存储自动化平台建设经历。

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against agirobot/referral's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on agirobot/referral's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    agirobot/referral's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.