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Google·Software Engineer·Technical Phone Screen·Intermediate

IntermediatePrefer not to say
May 2026

Summary

Google coding interview, one algorithmic problem, nothing fancy about the setup but the problem itself had some gotchas if you weren't careful about duplicates.

Questions Asked (1)

Q1

Given an array of integers and a target sum, find all unique quadruplets (four elements) in the array that add up to that sum.

Algorithms & Data Structures
Author's notes

My first instinct was to just nest four loops and call it a day, which obviously isn't going to fly at Google.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the problem: whether the array can contain duplicates, if the output should be sorted, and if the quadruplets themselves need to be sorted. Then, propose a solution that sorts the array and uses a two-pointer technique within nested loops to find all unique quadruplets in O(n^3) time, which is optimal for this problem.

Pro tip: Mention that you can optimize by skipping duplicate elements and adding pruning conditions (e.g., if the smallest possible sum exceeds the target or the largest possible sum is less than the target) to reduce unnecessary iterations, showing attention to performance.

1. Clarify requirements

Ask about input constraints, duplicate handling, output format, and whether the quadruplets need to be sorted. This ensures you understand the problem fully before coding.

2. Sort the array

Sorting helps in efficiently skipping duplicates and using two pointers to find pairs that sum to a target.

3. Nested loops with two pointers

Use two outer loops to fix the first two elements, then use two pointers (left and right) to find the remaining two elements that sum to the target minus the fixed sum.

4. Skip duplicates

After finding a valid quadruplet, skip duplicate elements for all four positions to ensure uniqueness in the result set.

5. Analyze complexity and edge cases

State the time complexity O(n^3) and space complexity O(1) (excluding output). Discuss edge cases like empty array, insufficient elements, and large inputs.

Key Points to Mention

  • Time complexity: O(n^3) due to nested loops and two-pointer scan.
  • Space complexity: O(1) auxiliary space if we ignore the output storage.
  • Handling duplicates: sort the array and skip repeated values at each level.
  • Two-pointer technique: efficient for finding pairs in a sorted array.
  • Pruning: early termination when the smallest or largest possible sum cannot reach the target.
  • Edge cases: array length less than 4, no solution, multiple solutions.

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