Scale Engineer

Software Engineer

Software EngineerT4Medium to Hard

This interview process is for a Software Engineer (T4 level) at Baidu, focusing on assessing technical skills, problem-solving abilities, and cultural fit.

Rounds·3

Timeline·~14d

Experience·4 - 8 yrs

Comp band·US$140000 - US$180000

Interview time·150 min

Evaluation

What they measure.

  • Problem-solving skills
  • Algorithmic thinking
  • Data structures knowledge
  • Coding proficiency

Preparation

How to prepare.

Tips

  1. Review fundamental data structures and algorithms.
  2. Practice coding problems on platforms like LeetCode.
  3. Study system design principles and common patterns.
  4. Prepare examples for behavioral questions using the STAR method.
  5. Research Baidu's products and recent technological advancements.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms fundamentals. Practice 5-10 problems daily.

Weeks 1-2: Focus on core data structures (arrays, linked lists, trees, graphs, hash tables) and algorithms (sorting, searching, dynamic programming, graph traversal). Practice implementing these in your preferred language. Aim for 5-10 problems per day.

Questions

Commonly asked.

  • Given an array of integers, find the contiguous subarray with the largest sum.
  • Design a URL shortening service.
  • How would you handle concurrency issues in a multi-threaded application?
  • Tell me about a time you disagreed with a team member. How did you resolve it?
  • What are the trade-offs between using a relational database and a NoSQL database?
  • Explain the concept of CAP theorem.
  • How would you optimize the performance of a web application?
  • Describe a situation where you had to learn a new technology quickly.

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Beijing

Interview focus

System DesignDistributed SystemsScalabilityPerformance Optimization

Common questions

  • How would you design a distributed caching system for a large-scale web application?
  • Explain the trade-offs between different database consistency models.
  • Describe a challenging technical problem you solved and how you approached it.

Tips

  • Be prepared to discuss large-scale system design principles.
  • Understand the nuances of distributed systems and their challenges.
  • Highlight experience with high-traffic applications.

Rounds

Round-by-round.

Expand a step for evaluation criteria, sample questions, and prep notes.

Med

Technical Interview (Coding) · 45 min · Software Engineer (Peer)

This round focuses on your fundamental programming skills. You will be asked to solve 1-2 coding problems, typically involving data structures and algorithms. The interviewer will assess your ability to understand the problem, devise an efficient solution, and implement it correctly in code. They will also evaluate your communication skills as you explain your thought process.

What they look for

Clear thought processAbility to translate logic into clean codeUnderstanding of time and space complexityAbility to handle edge cases

Evaluation

  • Correctness of the solution
  • Efficiency of the algorithm (time and space complexity)
  • Code quality and readability
  • Problem-solving approach

Sample questions

  • Reverse a linked list.

    Data StructuresLinked ListsAlgorithms

  • Find the kth smallest element in a sorted matrix.

    AlgorithmsArraysBinary Search

Prep for this round

  1. 01Practice coding on a whiteboard or a shared editor.
  2. 02Think out loud and explain your approach before coding.
  3. 03Test your code with various inputs, including edge cases.

Common rejection reasons

  • ×Inability to solve coding problems efficiently.
  • ×Poor understanding of fundamental data structures and algorithms.
  • ×Code contains significant bugs or is not well-structured.

DSA

Coding questions at Baidu.

Frequently reported on Baidu loops

View all at Baidu

Other guides

More at Baidu.