米哈游AI Infra 系统工程师 - Varsapura
社招全职3年以上程序&技术类地点:上海 | 北京状态:招聘
工作描述
任职要求 1)本科及以上学历,计算机科学、软件工程、人工智能、分布式系统或相关专业 2)3 年以上基础设施、后端平台、分布式系统或 AI Infra 相关研发经验,有大规模训练平台、在线推理服务或高性能系统建设经验 3)熟悉 Python、C++、Golang、Java 中的一种或多种,具备扎实的工程实现能力和良好的代码质量意识 4)熟悉分布式系统基本原理,理解调度、存储、网络、容错、服务治理等关键问题,具备复杂系统设计、调试与优化能力 5)熟悉主流深度学习训练/推理生态及相关工具链,如 PyTorch、DeepSpeed、Megatron-LM、vLLM、SGLang、Triton、Ray 等,有实际使用或优化经验 6)了解大模型训练与推理中的核心技术问题,包括并行策略、混合精度、Checkpoint、KV Cache、Continuous Batching、量化、推理调度等 7)具备良好的问题分析能力与跨团队协作能力,能够推动算法、平台、产品、运维等多方协同完成复杂系统落地 加分项 1)有大模型训练平台、在线推理平台、AIGC 服务平台或 GPU 集群相关项目经验 2)熟悉 Megatron、DeepSpe…
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包括英文材料
学历+
分布式系统+
https://www.distributedsystemscourse.com/
The home page of a free online class in distributed systems.
https://www.youtube.com/watch?v=7VbL89mKK3M&list=PLOE1GTZ5ouRPbpTnrZ3Wqjamfwn_Q5Y9A
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.
C+++
https://www.learncpp.com/
LearnCpp.com is a free website devoted to teaching you how to program in modern C++.
https://www.youtube.com/watch?v=ZzaPdXTrSb8
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.
服务治理+
https://cloudnativecn.com/blog/istio-traffic-management-series-service-management-concept-theory/
通过阅读本文读者可以初步理解 Istio 流量治理的概念和相关知识框架。
https://juejin.cn/post/6844904006033080334
服务治理主要包括服务发现、负载均衡、限流、熔断、超时、重试、服务追踪等。我们今天要讲的,就是服务发现的内容。
系统设计+
https://roadmap.sh/system-design
Everything you need to know about designing large scale systems.
https://www.youtube.com/watch?v=F2FmTdLtb_4
This complete system design tutorial covers scalability, reliability, data handling, and high-level architecture with clear explanations, real-world examples, and practical strategies.
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.
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.
SGLang+
[英文] Install SGLang
https://docs.sglang.ai/get_started/install.html
SGLang is a fast serving framework for large language models and vision language models.
https://github.com/sgl-project/sgl-learning-materials
Triton Inference Server+
https://docs.nvidia.com/deeplearning/triton-inference-server/user-guide/docs/index.html
Triton Inference Server is an open source inference serving software that streamlines AI inferencing.
Ray+
https://github.com/ray-project/ray
Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
https://www.youtube.com/watch?v=FhXfEXUUQp0
In this video, I'll teach you everything you need to know about Apache Ray!
https://www.youtube.com/watch?v=fMiAyj2kgac
Using powerful machine learning algorithms is easy using Ray.io and Python.
https://www.youtube.com/watch?v=q_aTbb7XeL4
Parallel and Distributed computing sounds scary until you try this fantastic Python library.
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
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