vivo软件开发工程师(运控方向)
社招全职5-10年制造类地点:东莞状态:招聘
包括英文材料
学历+
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
C#+
https://learn.microsoft.com/en-us/dotnet/csharp/
The C# guide contains articles, tutorials, and code samples to help you get started with C# and the .NET platform.
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.
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/
相关职位
社招3年以上财务平台
1、参与境内外费控后端系统建设和运维,保障交付质量,提升系统可靠性。 2、重点、难点技术预研与攻关,持续探索更灵活高效的平台化方案,持续提升平台易用性和研发效率。 3、参与组织建设,沉淀和分享业务、技术知识,参与优化流程规范。
更新于 2025-02-19
校招算法
1. 探索用于强化学习的具身智能仿真框架,提升仿真系统在强化学习场景下的效能; 2. 研究并应用强化学习reward model设计方法,结合各种场景设计奖励函数,以对具身智能决策和行为进行有效评价; 3. 参与VLA架构下仿真系统的设计与优化,确保仿真环境下具身智能算法运行的可靠性与高效率; 4. 利用历史数据和世界模型技术和资产搭建高度真实的仿真引擎,实现具身智能算法的高效闭环验证,确保仿真结果与实际车端表现高度一致。