
神州数码2027届校招—集团英才—大模型部署调度优化工程师(J23797)
校招全职管培生地点:北京状态:招聘♡ 收藏
工作描述
任职要求 学历与专业要求 学历:硕士研究生及以上学历; 专业:计算机科学与技术、软件工程、电子工程、人工智能、通信工程等相关专业; 背景:具备扎实的计算机基础课程体系与良好的代码规范意识,注重工程可复现与结论可溯源。 技能要求 必备项: 熟练掌握 Python,具备 Go / C++ 开发能力者优先; 熟悉至少一种主流 LLM 服务或训练框架(如 vLLM、SGLang、Unsloth、Verl 等),能够阐述 prefill / decode、KV Cache、TTFT / TPOT 及并行训练等核心概念; 熟悉异构 AI 加速硬件(GPU / NPU 等,不限特定厂商)的计算特性,对显存管理、算子融合、图编译(CUDA Graph / NPU Graph)中至少一个方向有实践或系…
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包括英文材料
学历+
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.
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。
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
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.
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
Unsloth+
[英文] Unsloth Docs
https://docs.unsloth.ai/
Train your own model with Unsloth, an open-source framework for LLM fine-tuning and reinforcement learning.
https://www.youtube.com/watch?v=dMY3dBLojTk
Discover how to fine-tune LLMs at blazing speeds on Windows and Linux!
https://www.youtube.com/watch?v=Lt7KrFMcCis
In this guide, you'll learn how to fine-tune your own LLMs using Unsloth.
https://www.youtube.com/watch?v=W_xh6qNSfAQ
Today we learn how to easily fine-tune local LLMs with Unsloth and how to then use them in Ollama.
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