If you have followed campus recruitment in the past two years, you will likely have a direct sense of the “intensity” of Java positions: submitting a Java resume might not even pass the initial screening — not due to insufficient qualifications, but because in interviews, a simple question about “JVM garbage collection principles,” “Spring transaction propagation mechanisms,” or “Redis skip list implementation” can leave a newcomer who only understands basic CRUD speechless.To be honest, unless you are from a top university with solid projects, it is easy to become “cannon fodder” when trying to find a job with Java.On the other hand, the “deterrent point” of C++ has never been its fierce competition, but rather the fact that it is “hard to learn.”

• Just when you understand the difference between pointers and arrays, you have to face the entanglement of lvalues and rvalues;
• After finally getting the hang of STL containers, you need to figure out how to check for memory leaks;
• Just when you think you have mastered the basics, you look up and see template metaprogramming, RAII design, and coroutines as “advanced skills.”

There is a saying in the community: “After C++11, no one is proficient in C++ anymore.” This does not mean that no one can master it, but rather that the C++ standard updates too quickly (from C++11 to C++20, dozens of features such as smart pointers, lambdas, concepts, and modules have been added), and its coverage is too broad. No one can fully grasp all directions like “game engines + embedded drivers + AI framework optimization” — but this precisely becomes its “moat.”

In fact, programming languages are not the key to campus recruitment interviews,and programming languages are not the core of campus recruitment. Why not choose a language that is “not competitive and has prospects”?

Actually, C++ is such an option — its “lack of competition” is not because there are few positions, but because there are few who can get started;

Its “prospects” are not because of a flashy ecosystem, but because it is rooted in all core areas that are “close to hardware and have high performance requirements,” which are precisely the “lifeblood” of major companies.

C++ is favored by major companies for its high performance, low-level control capabilities, and cross-platform features, and there are many related positions. Almost every well-known company has C++ related positions.

Part 1Why Do Many Advise Against C++?

The reasons for advising against C++ essentially boil down to “the input-output ratio is too low for most people,” which can be broken down into three core issues:

1. C++ Requires High Comprehensive Ability

Many people finish learning C++ and become confused: “I know C++, but what jobs can I find?” Unlike Java, which is almost bound to “backend development,” or Python, which is tied to “data analysis/scraping,” C++ job directions are scattered like “stars in the sky,” and some even joke that “the only commonality among C++ positions is that they all use C++.”

This “scattering” hides the fact that each direction has vastly different skill requirements. For example:

• Game Development: You need to understand C++ interaction with Unreal/Unity engines (such as communication between Unreal’s blueprints and C++, resource loading mechanisms), basic graphics (OpenGL/DirectX), physics engines (PhysX), and even be able to use profilers to optimize frame rates (for example, reducing draw calls from 1000 to 200);
• Embedded Development: You need to understand ARM architecture, Linux driver development (such as writing an SPI device driver), real-time operating systems (RTOS), and even be able to use oscilloscopes to check hardware bugs (such as hardware exceptions caused by memory address overflow);
• AI Framework Optimization: You need to understand deep learning principles (CNN/RNN), parallel computing (CUDA programming), model acceleration (TensorRT quantization), and even manually optimize operators (for example, reducing the computation delay of Conv2d from 10ms to 2ms).

This means that learning C++ is not just about learning “a language,” but about building a “technical system” — you need to understand algorithms and data structures (to handle interviews), operating systems (memory management, process scheduling), and computer organization principles (CPU cache, instruction sets), and also supplement domain knowledge based on the direction. This kind of “comprehensive requirement” makes many people who just want to “find a job to make a living” hesitate.

2. High Learning Threshold

The entry threshold for C++ is almost the “ceiling” of other popular languages. When you start learning Python, you might be able to write a web scraper in an hour; learning Java, you can set up a Spring Boot interface in a week; but learning C++, just configuring the “environment” can take you half a day — VS compilation errors, MinGW linking failures, Linux g++ version incompatibilities. By the time you finally run “Hello World,” your classmate learning Java has already been able to use MyBatis to connect to the database for CRUD operations.

More critically, C++ lacks “fast-track project endorsements.” Training classes prefer to teach Java, Python, and frontend development because their business models can work: in 4-6 months, they can teach a complete novice to become “a tool person who can write business code” — for example, teaching Java to create an e-commerce backend (including login, shopping cart, payment interface), or teaching frontend to create a responsive website. These projects can be listed on resumes, and companies are willing to hire (after all, there is a shortage of business developers).

But what about teaching C++? In 4 months, you might just understand “how to use smart pointers” and “how to prevent memory leaks,” without being able to produce a project that you can showcase. You can’t just write on your resume, “I am proficient in new/delete,” can you? Companies want “problem solvers,” not “syntax-only people.” This situation of “not being able to find a job after studying for half a year” is devastating for the employment rate and reputation of training classes — so it’s not that training classes don’t want to teach, it’s that they really “can’t afford to teach.”

3. Business Development Doesn’t Require It

The vast majority of newcomers in the internet industry engage in “business development” — simply put, it means “translating the product manager’s requirements into code”: for example, creating an “order interface” for an e-commerce platform, writing a “user list query” for a backend management system, or developing a “message push feature” for an app.

In this scenario, “efficiency” is a hundred times more important than “performance.” What the boss wants is “to launch features within two weeks,” not “features that can run for ten years without lagging.” Java has Spring Boot to quickly set up frameworks, Python has Django/Flask to write an interface in half a day, and frontend has Vue/React to quickly produce pages — the ecosystems of these languages can help you “write less code and do more work.”

But what about C++? Writing a backend interface in C++ means you have to handle the HTTP protocol yourself, manage the database connection pool yourself, and solve thread safety issues yourself. What can be done in one line of Java requires dozens of lines in C++. The boss will only ask, “If others finished in two weeks, why did it take you two months?” — it’s not that C++ can’t do it, but that “it’s unnecessary,” and the cost-effectiveness is too low.

So for most newcomers, advising against C++ is actually a kind-hearted suggestion: choosing Java or Python is taking the “wide road,” which is easy to get started and find a job; choosing C++ is taking the “narrow road,” which is difficult and slow to see results.

Part 2Why Do Major Companies Still Require C++ for Core Positions?

But the “narrow road” leads to “high value” — core positions in major companies require C++, not because of “trend-following,” but because there is no choice. These positions do not engage in “business development,” but rather “build infrastructure,” and their lifeblood is “performance,” “stability,” and “extreme control,” which are precisely C++’s strengths.

1. Core Positions Require “Microsecond-Level Response,” C++ is the Only Choice

Core systems in major companies have speed requirements that are so strict you can’t imagine — not “second-level,” but “millisecond-level” or even “microsecond-level.”

For example, in arecommendation system (the core of ByteDance Douyin and Alibaba Taobao): when a user swipes the screen, the backend must complete three tasks within 50 milliseconds:

① Recall hundreds of candidates from a library of billions of products/videos (for example, if you like anime, recall anime videos);

② Score the candidates using a deep learning model (for example, “you have an 80% chance of liking this video”);

③ Sort based on scores, plus commercial rules like “advertisement priority,” and finally return the results.

How is this 50 milliseconds broken down? Network transmission takes 5ms, candidate recall takes 15ms, model computation takes 20ms, and sorting takes 5ms — every step is tightly constrained.

If Java is used, if the JVM suddenly triggers “garbage collection” (GC), a single pause could take 20ms, directly filling up the model computation time, resulting in a timeout for the returned results, and the user sees a “loading circle” and swipes to the next page.

But C++ is different:

• You can manually manage memory (using smart pointers or directly using new/delete), completely avoiding GC pauses;

• You can optimize data structures (for example, using arrays instead of linked lists to leverage CPU cache acceleration);

• You can even write assembly-level optimizations (for example, using SIMD instruction sets for parallel computing).

A friend of mine at ByteDance spent a month optimizing the code to reduce the P99 latency (99% of request response time) of the recommendation system from 15ms to 8ms — this few milliseconds improvement, multiplied by tens of billions of requests per day, saves server costs in the millions.

Another example ishigh-frequency trading (the core of Wall Street and domestic brokerages): stock prices change dozens of times per second, and the trading system must complete the entire process of “receiving market data – calculating strategy – placing orders” within 10 microseconds — being late by a microsecond could mean losing hundreds of thousands. In such scenarios, the overhead of Java/Python interpreters and GC pauses are “fatal flaws,” and only C++ can achieve “extreme lightweight,” even allowing direct hardware register manipulation.

2. Core Positions Require “Low-Level Control,” C++ Can “Extract Hardware Performance”

The infrastructure of major companies essentially involves “interacting with hardware” — for example, databases, operating systems, and game engines, which require “absolute control” over memory and CPU, and C++ is the only high-level language that can achieve this.

For example, indatabases (MySQL, PostgreSQL): the InnoDB storage engine is written in C++, and it needs to directly manage disk IO (such as pre-reading, caching), control memory pages (such as LRU cache eviction strategies), and handle transaction isolation (such as MVCC mechanisms). If Java is used, you cannot directly manipulate disk sectors or precisely control memory page sizes, making it impossible to create a high-performance storage engine.

Another example isgame engines (the core of Unreal and Unity): AAA titles (such as “Genshin Impact” and “Black Myth: Wukong”) must render a frame within 16.67 milliseconds — containing millions of polygons, complex light and shadow tracing, and physical collision (such as calculating the force when a character jumps and lands). This requires the engine to directly call GPU interfaces (DirectX/OpenGL), optimize memory bandwidth (to avoid video memory bottlenecks), and parallel process rendering tasks (using multithreading/multiprocessing). C++ can directly manipulate video memory addresses and quickly access data using pointers, while Java’s memory model leads to “data copy overhead,” making it impossible to meet the 60FPS requirement.

3. Core Positions are the “Company’s Moat,” C++ Talent is a “Scarce Resource”

The core systems of major companies, such as Alibaba’s middleware (Dubbo, RocketMQ), Tencent’s game engines, and ByteDance’s recommendation frameworks, are not “business functions that can be easily replicated,” but rather “the company’s technical moat” — their performance and stability directly determine the product’s competitiveness (such as the smoothness of Douyin and the speed of placing orders on Taobao).

Developing these systems requires “composite talents who understand C++ and domain knowledge” — for example, those working on recommendation systems need to understand C++ and deep learning, those working on databases need to understand C++ and storage principles, and those working on game engines need to understand C++ and graphics. The cultivation cycle for such talents is at least 3-5 years, making them very scarce in the market.

Scarcity means “high salaries”: the annual package for ordinary Java developers in major companies may range from 350,000 to 500,000, while the annual package for core C++ teams (such as infrastructure and game engines) can reach 700,000 to 1,000,000, or even higher. It’s not that companies are “generous,” but rather that these talents create value — for example, a C++ engineer who optimizes database performance can reduce the number of servers by 20%, saving tens of millions in costs in a year, making a million-dollar salary not a loss at all.

Part 3What Job Opportunities are Available for C++?

Many people say “C++ positions are few,” but in fact, it is “general C++ positions that are few,” while “vertical domain C++ positions are not few at all” — many companies are even struggling to find people. These positions are mainly concentrated in areas that require high performance and low-level control, and each field has a clear development path:

Field	Core Requirements	Representative Companies/Teams	Essential Skills
Game Development	Engine development, performance optimization, graphics rendering	Tencent Photon, miHoYo, NetEase Games, Epic Games	Unreal/Unity C++ development, graphics (OpenGL/DirectX), PhysX physics engine
Server/Infrastructure	High concurrency, low latency, middleware development	Alibaba Middleware, ByteDance Infrastructure, Tencent Cloud	Linux network programming (epoll), multithreading, HTTP servers, distributed systems
Embedded Development	Hardware interaction, driver development, real-time performance	Huawei HiSilicon, DJI, Tesla, Qualcomm	ARM architecture, Linux drivers, RTOS, STM32 development
AI Framework/Deep Learning	Model acceleration, operator optimization, parallel computing	Baidu PaddlePaddle, NVIDIA TensorRT, ByteDance Volcano Engine	CUDA programming, TensorRT quantization, deep learning principles
Database/Storage Systems	Storage engine, IO optimization, transaction management	Alibaba PolarDB, Tencent TDSQL, MySQL Official	Storage principles, B+ tree/LSM tree, MVCC mechanisms
High-Frequency Trading/Fintech	Microsecond-level response, low-latency networks	CITIC Securities, Goldman Sachs, Morgan Stanley

Positions in these fields not only have stable demand (unlike business development, which is affected by project changes), but also have long career lifecycles — the C++ foundational experience you accumulate at 30 will still be valuable at 40, unlike some business development roles where you “worry about being replaced by newcomers.”

Part 4C++ Learning ExperienceFrom Zero to Landing an Offer from a Major Company: A Replicable Path

Many people take detours when learning C++ not because it is “difficult,” but because it is “unplanned” — one moment they are looking at syntax, the next they are learning game development, and in the end, they learn nothing.

The following path is a summary from me and over 10 friends who have received C++ offers from major companies. It is tested and replicable, suitable for students with zero foundation or those changing majors.

1. Three Core Preparations Before Learning

1) Clarify your direction before starting: Think about which field you want to pursue (such as games, servers, embedded systems) to avoid “not knowing what to do after learning.” If unsure, start with “server development” — this is the most common and versatile direction for C++ positions.2) Prepare a Linux computer: Core C++ positions (especially in servers and embedded systems) require Linux development skills. While Visual Studio on Windows is user-friendly, it is disconnected from the actual environment in companies. It is recommended to install Ubuntu (or use WSL2) and familiarize yourself with basic commands (cd/ls/grep/awk).3) Reject “fragmented learning”: Do not watch short videos to learn C++ (such as “learn smart pointers in 3 minutes”). C++ is a systematic knowledge, and fragmented learning will only leave you “half-understanding.” Find a classic textbook and read it from start to finish; it is better than anything else.2. Phased Learning Path

Phase 1: Introduction (1-2 months) — Mastering “Writing Code”

Goal: Master the basics of C and core C++ syntax, and be able to write simple console programs.

1) Start with C language: C++ is a superset of C, and learning C++ directly without understanding C will be painful. Focus on: pointers, arrays, functions, structures, memory allocation (malloc/free).Resources: “The C Programming Language” (K&R Bible), Bilibili “Weng Kai C Language” course.2) Learn core C++ syntax: Focus on “the differences between C++ and C,” such as classes and objects, inheritance and polymorphism, function overloading, references, and the const keyword.Resources: “C++ Primer” (5th edition, the introductory bible, focus on chapters 1-12), Bilibili “Hou Jie C++ Object-Oriented Advanced Development”.3) Practice projects: Write a console snake game (using C++ classes to encapsulate the snake, food, and game logic) or a console calculator (supporting addition, subtraction, multiplication, division, and parentheses priority).Purpose: Familiarize yourself with class usage to avoid “only being able to read but not write.”

Phase 2: Advanced (3-4 months) — Mastering “Writing Good Code”

Goal: Deeply understand C++ underlying principles, master STL and memory management, and be able to write efficient and safe code.

1) In-depth STL: STL is C++’s “weapon library,” and you must thoroughly understand commonly used containers and algorithms. Focus on: implementation principles of vector/list/map/unordered_map, iterator invalidation issues, and usage scenarios of algorithms (sort/find).Resources: “STL Source Code Analysis” (Hou Jie, focus on vector, list, map chapters), C++ official documentation (cppreference.com).2) Memory management: This is the “soul” of C++, and also a high-frequency interview topic. Focus on: the differences between new/delete and malloc/free, memory leak detection (Valgrind tool), smart pointers (usage scenarios and implementation principles of unique_ptr/shared_ptr/weak_ptr), and RAII design patterns.Resources: “Understanding the C++ Object Model” (Hou Jie), “Effective C++” (3rd edition, chapter 4 “Design and Declaration,” chapter 5 “Implementation”).3) Design patterns: Major companies require C++ development to be “maintainable,” and design patterns are key. Focus on: singleton pattern (thread-safe version), factory pattern (simple factory/factory method), observer pattern, strategy pattern.Resources: “Design Patterns: Elements of Reusable Object-Oriented Software” (GOF Bible), Bilibili “Li Jianzhong Design Patterns”.4) Practice projects: Write a simple HTTP server (supporting GET/POST requests, static resource access).Technical points: Linux network programming (socket/epoll), multithreading to handle requests, HTTP protocol parsing.Purpose: Accumulate project experience by combining network programming and memory management.

Phase 3: Specialization (2-3 months) — Mastering “Domain Skills”

Based on your chosen direction, learn domain knowledge specifically (this is key to distinguishing “ordinary C++ developers” from “major company candidates”).

Direction 1: Server Development (Most Common)

• Core skills: Linux multithreading/multiprocessing (thread pools, inter-process communication), IO models (epoll/select/poll), distributed systems (RPC principles, consistent hashing).
• Resources: “UNIX Network Programming” (Volume 1, focus on IO models and inter-process communication), “Linux High-Performance Server Programming” (Chen Shuo).
• Practice project: Write a service framework that supports RPC calls (client sends requests, server processes and returns results).

Direction 2: Game Development (Most Popular)

• Core skills: Unreal Engine 4/5 C++ development, interaction between blueprints and C++, basic graphics (matrix transformations, lighting models).
• Resources: Unreal official documentation (“C++ Programming” tutorial in the Learn section), “Real-Time Rendering” (graphics bible, focus on the first three chapters).
• Practice project: Create a “third-person roaming” demo using Unreal (supporting character movement, jumping, and scene interaction).

Direction 3: Embedded Development (Most Stable)

• Core skills: ARM architecture, Linux driver development (character device drivers), RTOS (FreeRTOS), hardware debugging (oscilloscope usage).
• Resources: “Linux Device Driver Development” (Song Baohua), STM32 official development manual.
• Practice project: Create a “temperature and humidity monitoring system” using STM32 (collect sensor data and send it to a computer via serial).

Phase 4: Interview Preparation (1-2 months) — Mastering “Getting the Offer”

The core of major company C++ interviews is “foundation + projects + algorithms,” and all three are indispensable.

1) Review of foundational topics:

• C++ syntax: rvalue references, move semantics, lambda expressions, new features after C++11 (such as constexpr, nullptr).
• Memory management: causes and detection methods of memory leaks, thread safety of smart pointers, differences between stack memory and heap memory.
• STL: vector’s expansion mechanism, differences between map and unordered_map (red-black tree vs hash table), scenarios of iterator invalidation.
• Operating systems: differences between processes and threads, CPU scheduling algorithms, conditions and methods to avoid deadlocks.

2) Project Review:

• Clarify the projects you have worked on (HTTP server, Unreal demo, etc.), and be prepared to answer “why you used this technology,” “what problems you encountered,” and “how you solved them.”
• For example: “When I wrote the HTTP server, I used epoll instead of select because epoll supports level-triggered and edge-triggered, allowing it to handle more concurrent connections; I encountered the ‘sticky packet’ problem and solved it by parsing the Content-Length of the HTTP header.”

3) Algorithm Practice:

• C++ positions have high algorithm requirements, so at least practice 200 LeetCode problems, focusing on “arrays, linked lists, trees, dynamic programming.”
• Resources: LeetCode Hot Problems 100, “Sword Offer” (focus on chapter 2 “Linked Lists,” chapter 3 “Trees”).

Part 5Three Pitfall Guides

1) Don’t get caught up in “syntax details”: For example, the difference between “const int* and int const*” — these details may occasionally be asked in interviews, but don’t spend too much time memorizing them — first master the core principles (such as whether const modifies the pointer or the content it points to), and details can be gradually supplemented later.2) Don’t “just read books without writing code”: C++ is something that is “learned by practice,” not “learned by reading.” Write at least 100 lines of code every day, even if it’s just reproducing examples from books.3) Don’t “fear errors”: When you first start writing C++, you will encounter many errors (such as segmentation faults, memory leaks), which is normal. Learn to use tools to troubleshoot: use gdb to debug segmentation faults on Linux, and use Valgrind to detect memory leaks — the process of solving errors is when you progress the fastest.

Conclusion

C++ is not a language “suitable for everyone,” but it is a language that can “take you deep into technology.”

If you just want to “find a job quickly,” then Java or Python is indeed more suitable for you; but if you have an obsession with “computer fundamentals” and “performance optimization,” and enjoy the thrill of “extracting hardware performance,” then C++ will be your best choice.

Remember: there are no “shortcuts” in learning C++. The first two years may feel “difficult” and “slow,” but once you master it, you will find that — those steep learning curves will ultimately become your “moat” on your career path.

Previous Recommendations

[Major Company Standards] Linux C/C++ Backend Advanced Learning Path

Complete Record of Tencent Linux C/C++ Backend Development Position

C++ Qt Learning Path! (Desktop Development & Embedded Development)

Click below to follow [Linux Tutorials] to get programming learning paths, project tutorials, resume templates, major company interview question PDFs, major company interview experiences, programming communication circles, and more.