Keep in mind

1. 只背⼋股⽂，是不⾏的，不太好进⼤公司。
   1. ⼤家要知道，⾯试官也是⼈，也知道候选⼈都在背⼋股⽂，⽽且⾯试官⾯过很多⼈，身经百战，你是背诵的，还是⾃⼰深刻理解过的，⾯试官⼀⾯你，就能知道你⼏⽄⼏两。也就是说，如果只会照本宣科的背⼋股⽂，⾯试会⽐较难受，碰到稍微严格的⾯试官，挖你细节，问到你不会为⽌，你会扛不住，⽆法根据情景说出⾃⼰的理解，这会给⾯试官很不好的印象，觉得你只会照猫画⻁。
   2. 在我看来，⽆论多么浅显的⼋股⽂，都要经过⾃⼰的实战经验，深度思考，再⽤⾃⼰的理解说出来，就算你的回答不是最好的答案，我觉得都没关系，你要让⾯试官看到你的潜⼒，看到你严谨的思维，清晰的表达。

编程风格 (TO DO:有待拓展：编程素养)

1. 面向对象的数据结构思想：不要随便添加新的数据结构（边的信息），最好是在点的对象上添加。
2. 让事情变得更简单、绝不重新发明轮子、尽可能使用经过验证的可靠技术。
3. Time to use Class in C++
   1. Data and it’s interface (复杂的数据/集合/容器和借口关系)
      1. 基类：数据，派生类：借口
   2. diff elements but in same one high level type (不同的事物，但是相同的抽象操作. )
      1. 基类：geometry(只是虚函数的框架)，派生类：line, circle, Rectangle，相同操作：draw，calculate_area
      2. 基类：chart(只是虚函数的框架)，派生类：line, bar, pie，相同操作：draw，push(add data)
      3. 数据格式以及初始化，要多态？
   3. Basic info & its specific application （信息的封装）
      1. 基类：基本信息，派生类：应用方向的基类
   4. useful utils (跨应用的常用轮子)

八股总结

1. C++编程类
   1. 小贺 PDF
   2. 拓跋阿秀
   3. github interview c++
2. 计网和操作系统
   1. 小林coding 图解
      1. 多进程通讯的方式，图解
      2. rdma, 下一代网络和互联技术

技术面

1. 自我介绍
2. 出彩经历介绍(项目、实习)
   1. STAR法则，也就是：“Situation: 事情是在什么情况下发生的；Task: 你的任务(难点)是什么；Action: 你的行动是什么；Result: 结果怎样。
   2. 时间占比如下，可以适当强调自己的工作 S+T：25% A：50% R：25%
3. 技术测试(编程语法，和算法)
   1. 字节更看重编程，直接手撕各种算法

业务主管面

更宏观的问题：

1. 职业规划为主：
   1. 详见 career blog
2. 对各种事物的看法与价值观是否契合
   1. (越偏研究和长远发展的部门，问的越广泛。越偏业务的部门，问题越实际)

HR 面

面试官提问的：(生活相关的)

• 配偶，家庭成员

我提问的内容

• 工作内容：详细讨论了你去这个部门能做什么，准备安排你做什么，问你能不能胜任，保证了你是知道进去的工作内容。
• 薪酬：注意前面两面也有问你的期望，那时候不要说太少，本人当时就是期望薪酬定的太低了，HR直接就给了。后面想反悔也不行。
• 聊聊住址城市、升职，转正。
• 工作节奏(上下班，周末)
  • 基本上都是8小时工作制，双休，午休一小时。弹性上班9点半到10点半。

需要进一步的研究学习

暂无

遇到的问题

暂无

开题缘由、总结、反思、吐槽~~

参考文献

上面回答部分来自ChatGPT-3.5，没有进行正确性的交叉校验。

无

Interview Preparation:

There is no set structure or format for your interview; it really just depends on the interviewer, and the direction the conversation goes, etc. You will likely be asked to explain something you worked on, and that would include some core skillset questions to check your understanding of your projects. Here are a few general suggestions to help you prepare:

1. Be prepared to speak at depth regarding any core skillset details in your background, for example: coding/technology-based questions; the two best ways to prepare for this would be to review your resume, and make sure you are able to talk at depth about skills you mentioned there, and to review the job description, and brush up on anything you might know, but feel you might not be able to go into detail about.

2. Ask good questions – about team, what we are up to, possible role/roles you might be a good fit for.

3. Read up on our website about our products and the company (many interviewers will ask what you know about us, and it is better to be prepared to answer - it shows interest in the company and what we are up to).

4. Access to a computer with an internet connection is typically required for your interviews

self-introduction in English

“Hello, I am a graduate student majoring in Computer Science and Technology at the University of Science and Technology of China. I am currently pursuing/pəˈsjuːɪŋ/ a master’s degree. I completed my undergraduate studies at the same university and had the opportunity to participate in both the ASC and ISC competitions during my undergraduate years.

In my graduate studies, I have primarily focused on research related to High-Performance Computing. This includes projects such as static code analysis for Kunpeng processors, participation in program parallelization and acceleration optimization competitions, and exploring PIM (Processing in Memory) computing.

Through my academic and research experiences, I have developed a dual/ˈduːəl/ expertise /ˌekspɜːˈtiːz/ in computer microarchitecture and practical/ˈpræktɪkl/ application optimization. I have honed/hoʊnd/ the ability to swiftly identify program hotspots when faced with new applications, leveraging/ˈlevərɪdʒ/ the unique characteristics of computer systems to achieve efficient deployment and enhance program performance.

Furthermore, I have taken a keen/kiːn/ interest in emerging technologies such as artificial intelligence and machine learning. I aspire to apply these skills flexibly in fields like AI for science/HPC and AI program deployment. Thank you for considering my candidacy/ˈkændɪdəsi/ for this opportunity.”

项目的介绍和关键字

参考文献

上面回答部分来自ChatGPT-3.5，没有进行正确性的交叉校验。

https://www.nowcoder.com/discuss/401041683767468032