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Jane Street·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
Jun 2026

Summary

Jane Street SWE interview with a genuinely tricky algorithmic problem about merging text-editor diffs. The constraint that you can't materialize the document and must run in O(n+m) is what makes it hard. No fluff, just a meaty coding question.

Questions Asked (1)

Q1

Given two sequential insertion diffs (each a sorted list of position-value pairs), write a function that merges them into a single equivalent diff, without ever constructing or iterating over the underlying document. Must run in O(n+m) time where n and m are the sizes of the two diffs.

Algorithms & Data StructuresTechnical Trade-offs
Author's notes

This one took me a while to even understand what they were asking.

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AI HintsAI Generated

Suggested Approach

Model each diff as a sequence of insertions at original document positions, then merge them by simulating the combined effect on positions without materializing the document. Use a two-pointer technique to process both diffs in order, adjusting positions in the second diff by the cumulative offset introduced by the first diff. Output the merged diff as a sorted list of position-value pairs.

Pro tip: Clarify whether positions are 0-indexed or 1-indexed and whether insertions at the same position preserve order; these details affect the merge logic and demonstrate attention to edge cases.

1. Clarify assumptions and definitions

Confirm the meaning of a diff (sorted list of (position, value) insertions), indexing base, and how ties at the same position are ordered. Establish that the merged diff must be equivalent to applying the first then the second diff.

2. Design the merge algorithm

Use two pointers to traverse both diffs. For each insertion in the second diff, compute its effective position in the original document by subtracting the number of insertions from the first diff that occur at or before that position. Merge the two sorted lists of adjusted insertions.

3. Handle position adjustments and ordering

When merging, ensure that insertions from the first diff and adjusted insertions from the second diff are interleaved correctly. If positions tie, decide the order based on the original application order (first diff before second diff).

4. Analyze time and space complexity

Explain that the algorithm runs in O(n+m) time because each diff is traversed once, and uses O(n+m) space for the output. Emphasize that no document is constructed or iterated.

5. Test with edge cases

Walk through examples: empty diffs, insertions at the same position, insertions at the beginning/end, and interleaved insertions. Verify that the merged diff produces the same final document as applying the diffs sequentially.

Key Points to Mention

  • Two-pointer technique for linear time merge
  • Offset tracking: cumulative insertions from the first diff affect positions in the second diff
  • Stability and tie-breaking when insertions occur at the same position
  • No document construction or iteration—purely diff manipulation
  • Time complexity O(n+m) and space complexity O(n+m) for output
  • Edge cases: empty diffs, insertions at boundaries, overlapping positions

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