哈啰ai平台开发工程师
社招全职3年以上软研类地点：杭州状态：招聘
工作描述
任职要求 1. 本科及以上学历，计算机、软件工程或相关专业，3 年以上后端研发经验。 2. 精通 Go 或 Java 至少一种语言，熟悉常用 Web 框架、ORM 与微服务开发模式，具备良好的编码规范与文档习惯。 3. 理解 Kubernetes 原理，熟悉 Pod、调度、资源配额、Operator / CRD 等机制，有 client-go、controller-runtime 等开发经验。 4. 熟悉集群调度与资源管理，了解 GPU 调度、队列、配额、抢占、Gang Scheduling 等概念，有 Kueue、Volcano、Kubeflow 等 AI 调度组件使用或二次开发经验者优先。 5. 了解深度学习训练流程，熟悉 PyTorch 等主流框架，理解数据并行、模型并行、分布式训练（DDP、…
登录查看完整工作描述
微信扫码，1秒登录
包括英文材料
学历+
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。
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.
Web+
https://web.dev/learn
Explore our growing collection of courses on key web design and development subjects.
微服务+
https://learn.microsoft.com/en-us/training/modules/dotnet-microservices/
Microservice applications are composed of small, independently versioned, and scalable customer-focused services that communicate with each other by using standard protocols and well-defined interfaces.
https://microservices.io/
Microservices - also known as the microservice architecture - is an architectural style that structures an application as a collection of two or more services.
https://spring.io/microservices
Building small, self-contained, ready to run applications can bring great flexibility and added resilience to your code.
https://www.ibm.com/think/topics/microservices
Microservices, or microservices architecture, is a cloud-native architectural approach in which a single application is composed of many loosely coupled and independently deployable smaller components or services.
https://www.youtube.com/watch?v=CqCDOosvZIk
https://www.youtube.com/watch?v=hmkF77F9TLw
Learn about software system design and microservices.
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.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
PyTorch+
https://datawhalechina.github.io/thorough-pytorch/
PyTorch是利用深度学习进行数据科学研究的重要工具，在灵活性、可读性和性能上都具备相当的优势，近年来已成为学术界实现深度学习算法最常用的框架。
https://www.youtube.com/watch?v=V_xro1bcAuA
Learn PyTorch for deep learning in this comprehensive course for beginners. PyTorch is a machine learning framework written in Python.
性能调优+
https://goperf.dev/
The Go App Optimization Guide is a series of in-depth, technical articles for developers who want to get more performance out of their Go code without relying on guesswork or cargo cult patterns.
https://web.dev/learn/performance
This course is designed for those new to web performance, a vital aspect of the user experience.
https://www.ibm.com/think/insights/application-performance-optimization
Application performance is not just a simple concern for most organizations; it’s a critical factor in their business’s success.
https://www.oreilly.com/library/view/optimizing-java/9781492039259/
Performance tuning is an experimental science, but that doesn’t mean engineers should resort to guesswork and folklore to get the job done.
缓存+
https://hackernoon.com/the-system-design-cheat-sheet-cache
The cache is a layer that stores a subset of data, typically the most frequently accessed or essential information, in a location quicker to access than its primary storage location.
https://www.youtube.com/watch?v=bP4BeUjNkXc
Caching strategies, Distributed Caching, Eviction Policies, Write-Through Cache and Least Recently Used (LRU) cache are all important terms when it comes to designing an efficient system with a caching layer.
https://www.youtube.com/watch?v=dGAgxozNWFE
大模型+
https://www.youtube.com/watch?v=xZDB1naRUlk
You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.
https://www.youtube.com/watch?v=zjkBMFhNj_g
vLLM+
https://www.newline.co/@zaoyang/ultimate-guide-to-vllm--aad8b65d
vLLM is a framework designed to make large language models faster, more efficient, and better suited for production environments.
https://www.youtube.com/watch?v=Ju2FrqIrdx0
vLLM is a cutting-edge serving engine designed for large language models (LLMs), offering unparalleled performance and efficiency for AI-driven applications.
TensorRT+
https://docs.nvidia.com/deeplearning/tensorrt/latest/getting-started/quick-start-guide.html
This TensorRT Quick Start Guide is a starting point for developers who want to try out the TensorRT SDK; specifically, it demonstrates how to quickly construct an application to run inference on a TensorRT engine.
还有更多 •••
相关职位
校招AI类
【岗位职责】 1. 负责分布式 Agent 运行平台的设计与开发：建设 Agent 运行框架及 Harness 基础设施，支持任务规划、工具调用、上下文管理、执行追踪、异常恢复和人工介入，保障 Age
广州
社招5-10年
1. 学历要求：本科及以上学历，数学类、AI 方向类相关专业优先； 2. 能力素质：逻辑清晰，学习能力强。 3. 必备技能：掌握 CUDA 编程，具备高性能 GPU 算子开发与性能分析优化经验； 4.
更新于 2026-03-03上海|广州
社招5年以上
1、本科及以上学历，计算机相关专业优先，具有 5 年及以上相关工作经验； 2、熟练掌握 Python、Go 等编程语言，具备扎实的数据结构与软件工程基础，以及较强的系统架构设计能力； 3、具备企业级人
广州
社招
1、计算机技术、软件工程、人工智能、数据科学等计算机相关专业硕士在读； 2、掌握 Python、Go 中至少一门编程语言，具备扎实的数据结构、软件工程、大模型基础； 3、对大语言模型、检索增强生成、智
广州