地平线【地瓜机器人】算法工具链runtime开发应用工程师
社招全职软件序列地点：北京状态：招聘
任职要求
任职要求： 1、熟练掌握Linux平台上的C/C++，常用数据结构和算法，CMake等构建工具，熟悉交叉编译 2、具备基础的深度学习算法知识，熟悉python语言，熟悉模型前后处理 3、熟悉第三方开源库的使用与集成，包括但不限于llamacpp、opencv、tensorrt、MNN等 4、了解端侧c++/C性能优化常用分析手段及解决方法 5、具有较强的学习能力和责任心 可以加分的： 1、熟悉计算机体系结构，具备理论联系实际分析能力 2、参加过机器人相关比赛，负责关键技术的开发 3、数学功底好，能够快速理解论文公式
工作职责
工作职责： 1、负责算法工具链runtime组件的设计、开发、优化与维护工作，确保算法模型在端侧高效稳定运行 2、负责LLM、VLM、VLA及CV模型端侧c++部署，确保模型在端侧部署的正确性和性能 3、支持重点客户解决使用runtime过程遇到的问题
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
C+
https://www.freecodecamp.org/chinese/news/the-c-beginners-handbook/
本手册遵循二八定律。你将在 20% 的时间内学习 80% 的 C 编程语言。
https://www.youtube.com/watch?v=87SH2Cn0s9A
https://www.youtube.com/watch?v=KJgsSFOSQv0
This course will give you a full introduction into all of the core concepts in the C programming language.
https://www.youtube.com/watch?v=PaPN51Mm5qQ
In this complete C programming course, Dr. Charles Severance (aka Dr. Chuck) will help you understand computer architecture and low-level programming with the help of the classic C Programming language book written by Brian Kernighan and Dennis Ritchie.
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
数据结构+
https://www.youtube.com/watch?v=8hly31xKli0
In this course you will learn about algorithms and data structures, two of the fundamental topics in computer science.
https://www.youtube.com/watch?v=B31LgI4Y4DQ
Learn about data structures in this comprehensive course. We will be implementing these data structures in C or C++.
https://www.youtube.com/watch?v=CBYHwZcbD-s
Data Structures and Algorithms full course tutorial java
算法+
https://roadmap.sh/datastructures-and-algorithms
Step by step guide to learn Data Structures and Algorithms in 2025
https://www.hellointerview.com/learn/code
A visual guide to the most important patterns and approaches for the coding interview.
https://www.w3schools.com/dsa/
CMake+
https://cmake.org/getting-started/
We want to give you the resources you need to confidently leverage CMake as your build system of choice.
https://learnxinyminutes.com/zh-cn/cmake/
CMake 是一个跨平台且开源的自动化构建系统工具。通过该工具你可以对你的源代码进行测试、编译或创建安装包。
https://www.youtube.com/watch?v=7YcbaupsY8I
CMake introduction for absolute beginners.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
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.
llama.cpp+
https://blog.steelph0enix.dev/posts/llama-cpp-guide/
No LLMs were harmed during creation of this post.
https://github.com/ggml-org/llama.cpp/discussions/15396
This is a detailed guide for running the new gpt-oss models locally with the best performance using llama.cpp.
https://www.youtube.com/watch?v=EPYsP-l6z2s
In this guide, you'll learn how to run local llm models using llama.cpp.
OpenCV+
https://learnopencv.com/getting-started-with-opencv/
At LearnOpenCV we are on a mission to educate the global workforce in computer vision and AI.
https://opencv.org/university/free-opencv-course/
This free OpenCV course will teach you how to manipulate images and videos, and detect objects and faces, among other exciting topics in just about 3 hours.
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.
MNN+
https://github.com/alibaba/MNN?tab=readme-ov-file#intro
MNN is a highly efficient and lightweight deep learning framework.
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