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Zipline·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
May 2026

Summary

Interviewed for a software engineering role at Zipline and got hit with the classic largest rectangle in histogram problem. Pretty standard algorithmic screen, nothing too surprising if you've done competitive programming before.

Questions Asked (1)

Q1

Given an array of bar heights, find the maximum area rectangle that can be formed using any contiguous range of bars, where the rectangle height is bounded by the shortest bar in the chosen range.

Algorithms & Data Structures
Author's notes

Classic monotonic stack problem.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the problem and walking through a brute-force approach to establish understanding. Then introduce the optimal monotonic stack solution, explaining how it efficiently finds the largest rectangle by identifying boundaries for each bar. Emphasize the time and space complexity trade-offs.

Pro tip: Mention that the monotonic stack approach can be implemented in a single pass with a stack of indices, and highlight that adding a sentinel bar of height 0 at the end simplifies handling remaining bars. This shows attention to implementation details and edge cases.

1. Clarify and Confirm

Restate the problem to ensure understanding: given an array of bar heights, find the maximum area rectangle formed by a contiguous range where height is the minimum bar in that range. Confirm input constraints and expected output.

2. Brute Force Approach

Describe a naive O(n^2) solution: for each bar, expand left and right until a shorter bar is encountered, computing area. This demonstrates baseline understanding and sets the stage for optimization.

3. Optimal Monotonic Stack

Explain the O(n) monotonic stack approach: maintain a stack of indices with increasing heights. When a shorter bar is found, pop and calculate area using the popped bar's height and the distance to the previous smaller bar.

4. Complexity Analysis

State that the optimal solution runs in O(n) time and O(n) space, as each bar is pushed and popped at most once. Contrast with the brute force O(n^2) time.

5. Edge Cases and Testing

Discuss edge cases: empty array, single bar, strictly increasing/decreasing heights, and equal heights. Mention adding a sentinel 0 at the end to flush the stack.

Key Points to Mention

  • Monotonic stack maintains indices of bars in increasing order of height.
  • For each bar, the maximum rectangle with that bar as the shortest is determined by the nearest smaller bar to the left and right.
  • Time complexity O(n) and space complexity O(n) for the optimal solution.
  • Brute force O(n^2) approach as a baseline.
  • Sentinel value (height 0) at the end simplifies stack flushing.
  • Handling edge cases like empty input and equal heights.

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