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LinkedIn·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
Jul 2026

Summary

Did a technical phone screen for a software engineer role at LinkedIn and got hit with a classic linked list problem. Pretty standard stuff but still worth sharing.

Questions Asked (1)

Q1

Reverse a singly linked list and return the result.

Algorithms & Data Structures
Author's notes

Classic problem, you'd think it's easy until you're staring at it live and second-guessing whether to do it iteratively or recursively.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the problem constraints (e.g., iterative vs recursive, in-place, memory limits) and then walk through the standard iterative pointer manipulation approach. Explain the algorithm step-by-step, emphasizing how to avoid losing references, and analyze time and space complexity. If time permits, mention the recursive alternative and its trade-offs.

Pro tip: Demonstrate awareness of edge cases (empty list, single node) and discuss how to handle them gracefully. Also, mention that while recursion is elegant, it uses O(n) stack space, which might be a concern for very long lists—showing you consider practical constraints.

1. Clarify requirements and constraints

Ask if the list can be modified in-place, if recursion is allowed, and if there are memory constraints. Confirm the function signature and return type.

2. Choose an approach

Decide between iterative and recursive solutions. The iterative approach is generally preferred for its O(1) space complexity and simplicity.

3. Explain the iterative algorithm

Describe using three pointers (prev, curr, next) to reverse the links one by one. Walk through a small example to illustrate.

4. Analyze complexity and edge cases

State that time complexity is O(n) and space is O(1). Mention handling of empty list, single node, and ensuring the new head is returned.

5. Discuss alternatives and trade-offs

Briefly mention the recursive approach (O(n) time, O(n) space) and when it might be appropriate, showing depth of knowledge.

Key Points to Mention

  • Iterative solution using three pointers (prev, curr, next)
  • Time complexity O(n) and space complexity O(1)
  • Edge cases: empty list, single node, and list with multiple nodes
  • Returning the new head of the reversed list
  • Recursive solution and its O(n) stack space trade-off
  • In-place modification vs creating a new list

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.