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LinkedIn·Software Engineer·Technical Phone Screen·Intermediate

IntermediatePrefer not to say
Jul 2026

Summary

LinkedIn SWE interview with a linked list problem that sounds easy until you actually have to hit O(1) space. The question had a few wrinkles they pushed on pretty hard.

Questions Asked (1)

Q1

Given two singly linked lists that may share a common tail, find the first node where they intersect. Nodes are compared by reference. Aim for O(m+n) time and O(1) space. Walk through your approach, correctness reasoning, complexity analysis, and edge cases like empty lists, no intersection, or very different lengths.

Algorithms & Data StructuresTechnical Trade-offs
Author's notes

The length-difference trick clicked for me pretty fast: get both lengths, advance the pointer on the longer list by the difference, then walk both in sync until you hit the same node reference.

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AI HintsAI Generated

Suggested Approach

First, clarify the problem constraints and edge cases, then propose the two-pointer length-difference approach: compute lengths, advance the longer list's pointer by the difference, then move both pointers until they meet. Explain correctness, complexity, and handle edge cases like empty lists and no intersection.

Pro tip: Mention that the two-pointer approach works because after aligning the starting positions, the remaining lengths are equal, so they must meet at the intersection if one exists. Also, note that this is optimal for O(1) space and O(m+n) time.

1. Clarify and Restate

Restate the problem to ensure understanding: two singly linked lists may intersect at some node, and we need the first common node by reference. Confirm that lists can be empty, have no intersection, or have very different lengths.

2. Outline Approach

Describe the two-pointer length-difference method: compute lengths of both lists, advance the pointer of the longer list by the length difference, then traverse both simultaneously until pointers are equal or null.

3. Prove Correctness

Explain why this works: after aligning the starting points, the remaining segments have equal length, so if an intersection exists, the pointers will meet at the first common node; if not, both will reach null.

4. Analyze Complexity

State time complexity O(m+n) because each list is traversed at most twice, and space complexity O(1) since only pointers and length variables are used.

5. Handle Edge Cases

Discuss edge cases: empty lists (return null), no intersection (return null), intersection at head (handled naturally), and very different lengths (length difference adjustment handles it).

Key Points to Mention

  • Length difference alignment: compute lengths, advance longer list's pointer by difference.
  • Simultaneous traversal: move both pointers until they are equal or null.
  • Correctness: after alignment, remaining lengths are equal, so meeting point is the intersection.
  • Time complexity O(m+n) and space complexity O(1).
  • Edge cases: empty lists, no intersection, intersection at head, different lengths.
  • Alternative approaches: hash set (O(m) space) or marking visited nodes (modifies list), but two-pointer is optimal for space.

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