
长江存储cSSD系统工程师(J14494)
社招全职地点:武汉状态:招聘
工作描述
任职要求 1. 教育背景:计算机、电子工程、自动化等相关专业本科及以上学历。 2. 核心技能: 1)精通Windows或Linux内核原理,熟悉块设备层、文件系统层及IO调度机制。 2)有国产操作系统(统信、麒麟等)内核开发、驱动移植或深度适配经验者优先。 3)熟悉NVMe协议标准,了解SSD内部架构(FTL, NAND Flash特性)。 2. AI场景经验: 1)了解主流AI框架(PyTorch, TensorFlow, ONNX Runtime)的IO行为特征。 2)有AI PC、大模型本地部署相关的存储性能优化经验者优先。 3. 工具与语言: 1)熟练掌握C/C++/Python进行系统级开发或脚本编写。 2)熟练使用性能分析工具(Perf, VTun…
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包括英文材料
学历+
Windows+
[英文] Windows 10 Tutorial
https://www.tutorialspoint.com/windows10/index.htm
This tutorial gives you all the indepth information on this new operating system and its procedures.
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
内核+
https://www.youtube.com/watch?v=C43VxGZ_ugU
I rummage around the Linux kernel source and try to understand what makes computers do what they do.
https://www.youtube.com/watch?v=HNIg3TXfdX8&list=PLrGN1Qi7t67V-9uXzj4VSQCffntfvn42v
Learn how to develop your very own kernel from scratch in this programming series!
https://www.youtube.com/watch?v=JDfo2Lc7iLU
Denshi goes over a simple explanation of what computer kernels are and how they work, alonside what makes the Linux kernel any special.
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.
TensorFlow+
https://www.youtube.com/watch?v=tpCFfeUEGs8
Ready to learn the fundamentals of TensorFlow and deep learning with Python? Well, you’ve come to the right place.
https://www.youtube.com/watch?v=ZUKz4125WNI
This part continues right where part one left off so get that Google Colab window open and get ready to write plenty more TensorFlow code.
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