商汤AI算法部署工程师
社招全职5年以上算法研究类地点：北京状态：招聘
工作描述
任职要求 工作职责： 1.负责端上(Linux/Android)平台的模型部署; 2.负责大模型在NPU/DSP/GPU/CPU开发与部署; 3.负责大模型在端侧(NV/MTK/Qualcomm等)的量化及推理性能优化; 4.负责大模型测试工具的开发; 任职要求： 1.本科及以上学历，计算机科学、电子工程或自动化等相关专业; 2.5年以上工作经验，3年以上的嵌入式开发工作经验， 3.熟悉计算机系统体系架构，软件性能优化加速; 4.至少熟悉一种主流推理框架，如VLLM、HuggingFace Transformers，Tens…
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包括英文材料
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
Android+
https://roadmap.sh/android
Step by step guide to becoming an Android developer .
https://www.youtube.com/playlist?list=PLQkwcJG4YTCSVDhww92llY3CAnc_vUhsm
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
学历+
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.
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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