How to Earn 15K+ as a Fresh CS Graduate: Essential Skills Checklist

Note: This answer was originally posted anonymously on Zhihu.

Key technical competencies for CS graduates aiming for high‑salary offers (≥15 K in major Chinese tech hubs)

Algorithm practice : Solve 400‑500 LeetCode problems, master all questions from “剑指Offer”, and have ACM competition experience.

Data structures : Implement AVL trees, hash tables, heaps; understand vector resizing, linked lists, balanced BSTs, and be able to discuss amortized complexities.

Computer organization : Read “Computer Systems: A Programmer’s Perspective” and complete its labs.

Computer networking : Study a textbook such as “Computer Networking: A Top‑Down Approach”, understand TCP three‑way handshake, four‑way termination, and perform packet‑capture labs (e.g., Wireshark).

Operating systems : Follow MIT 6.828 (or similar) to study memory allocation, scheduling, multithreading, and OS interfaces (e.g., APUE).

Databases : Be proficient in SQL, know normal forms, and understand data‑model design to minimise query cost; optional deeper study of database internals.

Compiler fundamentals : Understand compiler options, optimisation levels, dynamic vs static linking, header handling, and use gcc/clang flags ( -I, -L, -D). Be able to write Makefiles or CMake scripts.

Programming language mastery : Achieve deep knowledge of at least one language (e.g., C++ – read “Effective C++” series; Java – understand JVM internals).

Backend‑specific knowledge : Familiarity with Unix Network Programming (UNP) for network‑programming tasks.

Project experience : Build complete, self‑contained prototypes (e.g., a tiny kernel, an open‑source contribution on GitHub, or a GSOC‑style project). Demonstrable code on GitHub is highly valued.

English proficiency : Ability to search and understand documentation, StackOverflow answers, and technical papers without assistance.

Information‑gathering : Research target companies’ hiring criteria, internship importance, recruitment cycles (spring vs. autumn), and typical interview topics.

Networking / referrals : Leverage personal connections, internal recommendations, and platforms such as 牛客网 for referrals.

Practical study recommendations for junior CS students

Improve search and collection skills : Use precise keywords on Google or specialized platforms to locate primary sources quickly.

Consume high‑density, high‑quality resources : Prioritise classic textbooks and university‑level courses over scattered blog posts.

Maintain urgency : Begin systematic preparation early; aim to solve hundreds of algorithm problems before graduation.

Commit to continuous effort : Accumulate tens of thousands of lines of code over the undergraduate period; follow the “10 W‑line” principle.