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Google·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
May 2026

Summary

Google SWE interview with a classic backtracking problem. Not much to say except it's the kind of question that feels easy until you're actually writing it out under pressure.

Questions Asked (1)

Q1

Generate all valid combinations of n pairs of parentheses.

Algorithms & Data Structures
Author's notes

Knew it was backtracking pretty fast but fumbled the base case the first time around.

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AI HintsAI Generated

Suggested Approach

Use a backtracking algorithm that builds the string incrementally, ensuring at each step the number of closing parentheses does not exceed opening ones. Recursively explore adding an opening parenthesis if available, and a closing parenthesis if it won't invalidate the sequence. Collect results when the string length reaches 2n.

Pro tip: Mention that this is a classic example of backtracking with pruning, and that the number of valid combinations is the nth Catalan number, which shows you understand the combinatorial complexity. Also, clarify that the solution generates only valid sequences, avoiding the need to filter invalid ones.

1. Clarify the problem and constraints

Confirm that n is a positive integer and that the output should be a list of strings representing all valid combinations. Discuss edge cases like n=0 (should return an empty list or a list with an empty string, depending on definition).

2. Define the backtracking state

Decide on parameters: current string, number of open parentheses used, and number of close parentheses used. The goal is to reach open == close == n.

3. Establish base case and recursive exploration

When the current string length equals 2n, add it to the result. Otherwise, try adding '(' if open < n, and try adding ')' if close < open.

4. Implement and analyze complexity

Write the recursive function, ensuring to backtrack by removing the last character after each recursive call. Analyze time complexity as O(4^n / sqrt(n)) or O(C_n) where C_n is the nth Catalan number, and space complexity as O(n) for recursion depth plus output storage.

5. Test with examples and discuss optimizations

Walk through n=3 to show the generation process. Mention that the algorithm is optimal as it only generates valid sequences, and discuss potential iterative solutions or dynamic programming if asked.

Key Points to Mention

  • Backtracking with pruning: only add ')' if it doesn't exceed '(' count.
  • The number of valid combinations is the nth Catalan number, which grows exponentially.
  • Time complexity: O(4^n / sqrt(n)) or O(C_n), space complexity: O(n) for recursion stack.
  • Base case: when the string length reaches 2n, add to result.
  • Avoid generating invalid sequences by checking constraints before recursive calls.
  • Edge case: n=0 should return an empty list or a list with an empty string, clarify with interviewer.

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