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Google·Software Engineer·Technical Phone Screen·Intermediate

IntermediatePrefer not to say
Apr 2026

Summary

Google SWE interview with a grid-based problem that looked easy on the surface but had a few layers worth thinking through. Straightforward enough that I felt okay leaving, but I kept second-guessing whether I'd missed something about the pruning angle.

Questions Asked (1)

Q1

You're given a 2D grid where each cell has a number. Partition the grid into non-overlapping 3x3 blocks. Each block's representative is its minimum value. Find the block with the globally smallest representative and return it (plus optionally its coordinates). Walk through the O(m*n) scan and any pruning you can think of.

Algorithms & Data StructuresTechnical Trade-offs
Author's notes

I started with the brute force scan, which is just iterating every cell, grouping by block index (row/3, col/3), tracking the min per block, then comparing across blocks.

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AI HintsAI Generated

Suggested Approach

First, clarify the problem constraints and edge cases, then propose a straightforward O(m*n) scan that computes the minimum of each 3x3 block and tracks the global minimum. After establishing correctness, discuss potential pruning optimizations such as early termination or skipping blocks whose partial minimum already exceeds the current global minimum.

Pro tip: Emphasize that the O(m*n) solution is optimal in the worst case because every cell must be examined at least once, but mention that pruning can improve average-case performance when the global minimum is found early.

1. Clarify requirements and edge cases

Ask about grid dimensions (m, n), whether they are multiples of 3, and how to handle incomplete blocks. Confirm the return format: just the minimum value or also coordinates.

2. Outline the brute-force O(m*n) approach

Iterate over each 3x3 block (non-overlapping), compute its minimum by scanning its 9 cells, and keep track of the global minimum and its block coordinates.

3. Analyze time and space complexity

Explain that the algorithm visits each cell exactly once, so time is O(m*n) and space is O(1) beyond input storage. This is optimal since every cell must be read.

4. Discuss pruning optimizations

Propose early termination: if during a block scan the running minimum is already greater than or equal to the current global minimum, skip the rest of that block. Also consider processing blocks in an order likely to find a small minimum early.

5. Handle edge cases and conclude

Address grids not divisible by 3 (ignore leftover rows/columns or define partial blocks). Summarize that the simple scan is optimal, and pruning can help in practice.

Key Points to Mention

  • Non-overlapping blocks mean each cell belongs to exactly one block, simplifying the scan.
  • The O(m*n) scan is optimal because every cell must be examined at least once in the worst case.
  • Pruning via early termination within a block can reduce comparisons when the global minimum is small.
  • Maintain the global minimum and its coordinates (block row/col or top-left cell) as you iterate.
  • Edge cases: grids with dimensions not multiples of 3, empty grid, or single block.
  • Space complexity is O(1) extra, which is optimal.

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