Scale Engineer

Software Engineer

Software EngineerP2Medium to Hard

This interview process is for a Software Engineer position at KLA, specifically for the P2 level. It is designed to assess a candidate's technical skills, problem-solving abilities, and cultural fit within the company.

Rounds·3

Timeline·~7d

Experience·2 - 5 yrs

Comp band·US$110000 - US$140000

Interview time·135 min

Evaluation

What they measure.

  • Problem-solving approach and logical thinking.
  • Data structures and algorithms knowledge.
  • Coding proficiency and best practices.
  • System design capabilities.
  • Communication and collaboration skills.
  • Adaptability and learning agility.

Preparation

How to prepare.

Tips

  1. Review fundamental computer science concepts: data structures, algorithms, operating systems, databases.
  2. Practice coding problems on platforms like LeetCode, HackerRank, or similar.
  3. Understand common software design patterns and principles (SOLID, DRY, KISS).
  4. Prepare to discuss your past projects in detail, focusing on your contributions and challenges.
  5. Research KLA's products, technologies, and company culture.
  6. Practice behavioral questions using the STAR method (Situation, Task, Action, Result).
  7. If interviewing for a specific domain (e.g., embedded, cloud), focus your preparation accordingly.
  8. Prepare thoughtful questions to ask the interviewer about the role, team, and company.

Study plan

Fig · Study plan — 05 phases

01 / 05
01

Phase 01 of 05

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms fundamentals. Practice implementations and complexity analysis.

Weeks 1-2: Focus on core data structures (Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Hash Tables) and their common algorithms (Sorting, Searching, Graph Traversal). Practice implementing these from scratch and analyze their time and space complexity.

Questions

Commonly asked.

  • Given an array of integers, find the contiguous subarray with the largest sum.
  • Design a URL shortening service like bit.ly.
  • Explain the difference between a process and a thread.
  • How would you design a system to handle millions of concurrent users?
  • Describe a time you had a conflict with a team member and how you resolved it.
  • What are the advantages of using microservices?
  • How do you approach debugging a complex issue in a production environment?
  • Write a function to reverse a linked list.
  • What is polymorphism and how is it implemented in your preferred language?
  • Tell me about a project you are particularly proud of.

Locations

Regional differences.

Fig · Regions — 03 locations

01 / 03

Location

USA

Interview focus

Emphasis on distributed systems and cloud-native technologies (AWS/Azure/GCP).Problem-solving skills related to large-scale data and high-throughput systems.Experience with CI/CD pipelines and DevOps practices.

Common questions

  • How would you design a system to handle real-time data processing for sensor readings?
  • Describe a challenging debugging scenario you encountered and how you resolved it.
  • Explain the trade-offs between different database technologies for a large-scale application.
  • How do you ensure code quality and maintainability in a team environment?

Tips

  • Familiarize yourself with cloud-specific services and best practices.
  • Be prepared to discuss your experience with microservices architecture.
  • Highlight any contributions to open-source projects or significant technical blogs.

Rounds

Round-by-round.

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

Med

Technical Interview - Coding · 45 min · Software Engineer / Senior Software Engineer

This round focuses on assessing your fundamental programming skills. You will be asked to solve one or two coding problems, typically involving data structures and algorithms. The interviewer will evaluate your ability to understand the problem, devise an efficient solution, write clean and correct code, and explain your reasoning. Expect questions on arrays, strings, linked lists, trees, graphs, sorting, searching, and dynamic programming.

What they look for

Strong grasp of data structures and algorithms.Ability to translate a problem into a working code solution.Clear communication of thought process.Attention to detail and edge case handling.

Evaluation

  • Correctness of the solution.
  • Efficiency of the algorithm (time and space complexity).
  • Clarity and quality of the code.
  • Problem-solving approach and ability to handle edge cases.

Sample questions

  • Given a binary tree, find its inorder traversal.

    TreeRecursionIteration

  • Implement a function to find the kth smallest element in an unsorted array.

    ArraySortingQuickSelect

  • Find the length of the longest substring without repeating characters.

    StringSliding Window

Prep for this round

  1. 01Practice coding problems regularly on platforms like LeetCode.
  2. 02Focus on understanding the time and space complexity of your solutions.
  3. 03Be prepared to explain your approach before writing code.
  4. 04Practice writing code on a whiteboard or a shared editor.
  5. 05Think about edge cases and how to handle them.

Common rejection reasons

  • ×Inability to articulate thought process.
  • ×Poor understanding of fundamental data structures and algorithms.
  • ×Incorrect or inefficient code implementation.
  • ×Lack of problem-solving approach.

DSA

Coding questions at KLA.

Frequently reported on KLA loops

View all at KLA

Other guides

More at KLA.