小鹏汽车【26届校招】高性能计算优化工程师
校招全职地点:北京 | 上海状态:招聘
任职要求
【任职要求】 1、2026 届应届毕业生计算机科学与技术、电子工程、自动化及相关领域专业; 2、熟悉C/C++编程、熟悉Linux操作系统; 3、熟悉CUDA或至少一种并行计算技术、熟悉TensorRT或其他深度学习高性能推理框架; 4、责任心强,具备优秀的学习能力、独立分析能力和良好的团队沟通能力,有良好的工作文档习惯。
工作职责
1、负责自动驾驶端到端模型的优化和高效部署; 2、负责自动驾驶相关算法在各种芯片平台上的算子开发、性能优化; 3、负责设计、开发新一代高性能的自动驾驶软件功能模块,能够对实车硬件状态和软件表现进行深度分析和调优; 4、探索下一代嵌入式芯片上,高性能计算、模型量产和优化的无限可能。
包括英文材料
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
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
CUDA+
https://developer.nvidia.com/blog/even-easier-introduction-cuda/
This post is a super simple introduction to CUDA, the popular parallel computing platform and programming model from NVIDIA.
https://www.youtube.com/watch?v=86FAWCzIe_4
Lean how to program with Nvidia CUDA and leverage GPUs for high-performance computing and deep learning.
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.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
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