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Meta·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
Jun 2026

Summary

Did a coding round at Meta and got the classic linked list removal problem. Nothing too surprising but the two-pointer setup is one of those things you either have clean or you fumble under pressure.

Questions Asked (1)

Q1

Given the head of a linked list, remove the nth node from the end and return the updated head.

Algorithms & Data Structures
Author's notes

Two pointers.

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AI HintsAI Generated

Suggested Approach

Use a two-pointer technique with a dummy node to handle edge cases like removing the head. Advance the fast pointer n+1 steps ahead, then move both pointers until fast reaches the end; the slow pointer will be just before the node to remove.

Pro tip: Always create a dummy node pointing to the head to simplify removal of the head node and avoid separate edge-case handling. Also, clarify with the interviewer whether n is guaranteed to be valid and whether the list is singly linked.

1. Clarify assumptions and edge cases

Ask if n is always valid (1 ≤ n ≤ length) and if the list can be empty. Discuss edge cases like removing the head or the only node.

2. Choose the optimal approach

Explain that a one-pass two-pointer approach is optimal, achieving O(L) time and O(1) space, versus a two-pass approach that requires knowing the length first.

3. Implement with dummy node and two pointers

Create a dummy node pointing to head. Initialize fast and slow pointers at dummy. Move fast n+1 steps ahead, then move both until fast is null. Remove slow.next by updating slow.next = slow.next.next.

4. Test with examples and edge cases

Walk through examples: remove middle node, remove head (n = length), remove tail (n = 1), and single-node list. Verify pointers and return dummy.next.

5. Analyze complexity and discuss trade-offs

State time complexity O(L) and space O(1). Mention that a two-pass approach is simpler but less efficient; the two-pointer method is preferred for interviews.

Key Points to Mention

  • Two-pointer technique (fast and slow pointers) for one-pass solution
  • Dummy node to handle edge cases like removing the head
  • Time complexity O(L) and space complexity O(1)
  • Edge cases: empty list, n=1 (remove tail), n=length (remove head), single node
  • Comparison with two-pass approach (count length first)
  • Return dummy.next as the new head

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