Scale Engineer

L5

Software EngineerSoftware Engineer IIMedium to Hard

This interview process is for a Software Engineer II (L5) position at AMD. It is designed to assess a candidate's technical skills, problem-solving abilities, and cultural fit within the company.

Rounds·3

Timeline·~14d

Experience·4 - 8 yrs

Comp band·US$120000 - US$160000

Interview time·150 min

Evaluation

What they measure.

  • Problem-solving approach and analytical skills.
  • Technical depth and breadth in relevant areas.
  • Ability to design scalable and efficient solutions.
  • Coding proficiency and best practices.
  • Communication and collaboration skills.
  • Adaptability and learning agility.
  • Alignment with AMD's values and culture.

Preparation

How to prepare.

Tips

  1. Review fundamental computer science concepts (data structures, algorithms, operating systems, databases).
  2. Brush up on system design principles for scalable and distributed systems.
  3. Practice coding problems, focusing on efficiency and clean code.
  4. Prepare examples from your past experience to answer behavioral questions using the STAR method (Situation, Task, Action, Result).
  5. Research AMD's products, technologies, and recent news.
  6. Understand the specific requirements of the Software Engineer II role.
  7. Prepare thoughtful questions to ask the interviewers.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures & Algorithms

Weeks 1-2: DSA fundamentals and practice (LeetCode).

Weeks 1-2: Focus on Data Structures and Algorithms. Cover arrays, linked lists, trees, graphs, hash tables, sorting, searching, dynamic programming, and greedy algorithms. Practice problems on platforms like LeetCode, HackerRank, focusing on time and space complexity analysis.

Questions

Commonly asked.

  • Tell me about a time you had to debug a complex issue in a production environment.
  • How would you design a system to handle millions of concurrent users?
  • Describe a situation where you disagreed with a technical decision made by your team. How did you handle it?
  • What are the trade-offs between monolithic and microservices architectures?
  • Write a function to find the kth largest element in an unsorted array.
  • How do you approach performance optimization in your code?
  • Describe your experience with cloud computing platforms (AWS, Azure, GCP).
  • What is your understanding of RESTful APIs?
  • Tell me about a project you are particularly proud of and your contribution to it.
  • How do you stay updated with the latest technologies and trends in software engineering?

Locations

Regional differences.

Fig · Regions — 03 locations

01 / 03

Location

USA (e.g., Santa Clara, Austin)

Interview focus

Deep dive into distributed systems design and implementation.Experience with large-scale data processing and analytics.Proficiency in cloud platforms and containerization technologies.Performance tuning and optimization in complex environments.

Common questions

  • Discuss a challenging project you worked on in a distributed systems environment.
  • How would you design a caching system for a high-traffic website?
  • Explain the trade-offs between different database consistency models.
  • Describe your experience with cloud-native architectures (e.g., Kubernetes, Docker).
  • Tell me about a time you had to optimize code for performance in a large-scale system.

Tips

  • Emphasize experience with scalable and fault-tolerant systems.
  • Be prepared to discuss specific cloud services and their applications.
  • Highlight any contributions to open-source projects related to distributed systems.
  • Showcase your understanding of microservices architecture and its challenges.

Rounds

Round-by-round.

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

Med

Technical - Coding · 45 min · Software Engineer (often Senior or Staff)

This round focuses on your core programming skills and problem-solving abilities. You will be asked to solve one or two coding problems, typically involving data structures and algorithms. The interviewer will assess your ability to understand the problem, devise an efficient solution, implement it correctly, and explain your approach and its complexity.

What they look for

Strong grasp of fundamental algorithms and data structures.Ability to write clean, efficient, and bug-free code.Logical thinking and systematic approach to problem-solving.Clear communication of thought process.

Evaluation

  • Correctness of the solution.
  • Efficiency of the solution (time and space complexity).
  • Code clarity, readability, and maintainability.
  • Problem-solving approach and ability to break down complex problems.
  • Communication of the solution and trade-offs.

Sample questions

  • Given a binary tree, invert the tree.

    TreeRecursionData Structures

  • Find the median of two sorted arrays.

    ArrayBinary SearchAlgorithms

  • Implement a function to check if a string is a palindrome, ignoring non-alphanumeric characters and case.

    String ManipulationTwo PointersAlgorithms

Prep for this round

  1. 01Practice coding problems on platforms like LeetCode, HackerRank, focusing on medium-difficulty problems.
  2. 02Understand the time and space complexity of your solutions.
  3. 03Practice explaining your thought process out loud as you code.
  4. 04Be prepared to discuss edge cases and test your code.

Common rejection reasons

  • ×Inability to articulate thought process clearly.
  • ×Lack of fundamental understanding of data structures or algorithms.
  • ×Inefficient or incorrect code implementation.
  • ×Poor time management during the coding exercise.

DSA

Coding questions at AMD.

Frequently reported on AMD loops

View all at AMD

Other guides

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