小红书大模型 GPU 调度研发工程师（练习生）
校招全职引擎地点：北京 | 上海状态：招聘♡ 收藏
工作描述
任职要求 任职要求 1、计算机、软件工程、人工智能等相关专业在校生，具备扎实的编程基础和计算机系统基础。 2、熟悉 Go / Python / Java 中至少一门语言，具备良好的代码能力和工程实现意识。 3、熟悉 Linux，了解 Docker / Kubernetes 等云原生技术栈，对 K8s Scheduler、Volcano、Kueue、Kubeflow、Argo Workflows 等调度系统有兴趣或实践经验。 4、理解分布式系统基本概念，了解服务发现、资源隔离、任务调度、故障恢复、弹性伸缩、监控告警等能力。 5、对大模型训练、后训练、推理、部署等流程有兴趣，愿意理解不同 AI 负载对 GPU、网络、存储和调度策略的差异化诉求。 6、具备较好的数据分析、问题定位、沟通协作和自驱能力，能熟练使用 Cursor、Claude Code、GitHu…
登录查看完整工作描述
微信扫码，1秒登录
包括英文材料
Go+
https://www.youtube.com/watch?v=8uiZC0l4Ajw
学习Golang的完整教程！从开始到结束不到一个小时，包括如何在Go中构建API的完整演示。没有多余的内容，只有你需要知道的知识。
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文，免费，零起点，完整示例，基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
Java+
https://www.youtube.com/watch?v=eIrMbAQSU34
Master Java – a must-have language for software development, Android apps, and more! ☕️ This beginner-friendly course takes you from basics to real coding skills.
Linux+
https://ryanstutorials.net/linuxtutorial/
Ok, so you want to learn how to use the Bash command line interface (terminal) on Unix/Linux.
https://ubuntu.com/tutorials/command-line-for-beginners
The Linux command line is a text interface to your computer.
https://www.youtube.com/watch?v=6WatcfENsOU
In this Linux crash course, you will learn the fundamental skills and tools you need to become a proficient Linux system administrator.
https://www.youtube.com/watch?v=v392lEyM29A
Never fear the command line again, make it fear you.
https://www.youtube.com/watch?v=ZtqBQ68cfJc
Docker+
https://www.youtube.com/watch?v=GFgJkfScVNU
Master Docker in one course; learn about images and containers on Docker Hub, running multiple containers with Docker Compose, automating workflows with Docker Compose Watch, and much more. 🐳
https://www.youtube.com/watch?v=kTp5xUtcalw
Learn how to use Docker and Kubernetes in this complete hand-on course for beginners.
Kubernetes+
https://kubernetes.io/docs/tutorials/kubernetes-basics/
This tutorial provides a walkthrough of the basics of the Kubernetes cluster orchestration system.
https://kubernetes.io/zh-cn/docs/tutorials/kubernetes-basics/
本教程介绍 Kubernetes 集群编排系统的基础知识。每个模块包含关于 Kubernetes 主要特性和概念的一些背景信息，还包括一个在线教程供你学习。
https://www.youtube.com/watch?v=s_o8dwzRlu4
Hands-On Kubernetes Tutorial | Learn Kubernetes in 1 Hour - Kubernetes Course for Beginners
https://www.youtube.com/watch?v=X48VuDVv0do
Full Kubernetes Tutorial | Kubernetes Course | Hands-on course with a lot of demos
Volcano+
[英文] Tutorials
https://volcano.sh/en/docs/tutorials/
This section provides guidance to help you quickly get started with Volcano, from deploying a basic Volcano Job/Deployment, to integrating with Volcano Queues
Kubeflow+
https://huggingface.co/blog/turhancan97/building-your-first-kubeflow-pipeline
Kubeflow is an open-source platform designed to be end-to-end, facilitating each step of the Machine Learning (ML) workflow.
https://www.kubeflow.org/docs/started/introduction/
Kubeflow is the foundation of tools for AI Platforms on Kubernetes.
https://www.youtube.com/watch?v=6wWdNg0GMV4
In this walk-through I will show you how I've created a machine learning pipeline with Kubeflow 1.5 using Juypter Notebooks, Kubeflow pipelines, MinIO and Kserve.
Argo+
https://argo-cd.readthedocs.io/en/stable/understand_the_basics/
Before effectively using Argo CD, it is necessary to understand the underlying technology that the platform is built on.
https://www.youtube.com/watch?v=MeU5_k9ssrs
The ArgoCD chapter includes building a pipeline of dynamically updating & building a new application version using GitLab downstream pipeline feature.
还有更多 •••
相关职位
社招3-5年引擎
1、熟悉云原生生态及工具，如 Kubernetes、Kubeflow、Volcano、Kueue 等，有调度系统开发经验优先。 2、熟悉 GPU 集群调度、GPU 虚拟化、Quota 管理、故障容错、
更新于 2026-09-28北京|上海|杭州
社招3-5年
1、学历与经验： 计算机、人工智能、数学等相关专业硕士及以上学历，3 年及以上算法或大模型相关工作经验，具备大语言模型在真实业务场景中的落地实践经验者优先。 2、大模型与算法能力： 熟悉主流大语言模
更新于 2026-06-16深圳
社招3-5年
1、学历与经验： 计算机、人工智能、数学等相关专业硕士及以上学历，3 年及以上算法或大模型相关工作经验，具备大语言模型在真实业务场景中的落地实践经验者优先。 2、大模型与算法能力： 熟悉主流大语言模
更新于 2026-06-16深圳
社招3-5年基础后端
任职要求： 1、本科及以上学历，计算机、软件工程、人工智能等相关专业优先。 2、具备优秀的代码能力，熟悉 Go / Java / Python 中至少一门语言，具备良好的工程实现能力、代码质量意识和系
更新于 2026-07-21北京|上海|杭州