Cracking the LRU Cache Challenge: My Software Engineer Interview at Anthropic

anthropic | Software Engineer | Interview Experience

Interview Date: Not specified
Result: Not specified
Difficulty: Not specified

Interview Process

The interview consisted of a technical phone screen where I was presented with a coding prompt to create a Least Recently Used (LRU) cache. The focus was on implementing a caching mechanism that efficiently retrieves values while managing storage. I was required to ensure that the cache evicts the least recently used items when the capacity is reached. I explained my approach, which involved using a combination of a hashmap and a doubly linked list to achieve O(1) time complexity for both retrieval and insertion operations.

Technical Questions

  1. LRU Cache (Hash Table, Linked List, Design)

Tips & Insights

Focus on understanding the underlying data structures and their complexities, as well as being able to explain your thought process clearly during the interview.