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Google·Software Engineer·Technical Phone Screen·Intermediate

IntermediatePrefer not to say
May 2026

Summary

Interviewed at Google for a software engineering role, got a pretty straightforward array manipulation problem. Nothing crazy but I second-guessed myself more than I should have.

Questions Asked (1)

Q1

Given an array containing zeros and non-zero elements, sort it such that all zeros are moved to one end.

Algorithms & Data Structures
Author's notes

I went straight for a two-pointer approach and it worked fine, but I spent like two minutes narrating my thought process before writing a single line of code and I could tell the interviewer was just waiting for me to start.

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AI HintsAI Generated

Suggested Approach

Clarify the problem constraints (e.g., in-place, stability, which end) and then propose an efficient solution like the two-pointer technique. Walk through the algorithm step-by-step, analyze time and space complexity, and discuss edge cases.

Pro tip: Mention that the two-pointer approach is optimal for in-place partitioning, but also note that if stability is required, a different approach like counting and overwriting may be needed. This shows you consider trade-offs beyond just the basic solution.

1. Clarify requirements

Ask whether the operation should be in-place, whether zeros should go to the beginning or end, and if the relative order of non-zero elements must be preserved.

2. Propose approach

Suggest the two-pointer technique: one pointer scans the array, the other marks the position to place the next non-zero (or zero). Alternatively, use counting if stability is required.

3. Walk through example

Demonstrate the algorithm on a small array, showing how pointers move and elements are swapped or overwritten.

4. Analyze complexity

State that the solution runs in O(n) time and O(1) extra space for the in-place two-pointer approach, and discuss trade-offs if using counting.

5. Discuss edge cases

Cover cases like all zeros, no zeros, single element, and large arrays. Mention that the algorithm handles them correctly.

Key Points to Mention

  • Two-pointer technique for in-place partitioning
  • Time complexity O(n) and space complexity O(1)
  • Stability: whether relative order of non-zero elements matters
  • Alternative approach: counting zeros and overwriting
  • Edge cases: empty array, all zeros, no zeros
  • In-place vs. out-of-place trade-offs

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