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Google·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
Jun 2026

Summary

Google SWE coding round, one question about multiplying two large integers stored as arrays and returning the product in the same format. Pretty classic big number problem.

Questions Asked (1)

Q1

You're given two integers, each represented as an array of digits. Multiply them and return the result in the same array format.

Algorithms & Data Structures
Author's notes

I knew the general idea but fumbled the carry logic at first.

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AI HintsAI Generated

Suggested Approach

Clarify the problem constraints (e.g., digit order, sign handling, output format) and then propose a digit-by-digit multiplication algorithm that mimics manual multiplication, using an array to accumulate results and handle carries. Discuss time and space complexity, and consider edge cases like zeros and negative numbers.

Pro tip: Demonstrate awareness of potential pitfalls like integer overflow and leading zeros, and mention that you would write unit tests for edge cases to ensure correctness.

1. Clarify requirements and constraints

Ask about digit order (most significant first?), sign representation, and expected output format. Confirm whether the input arrays can be empty or contain non-digit characters.

2. Outline the algorithm

Explain that you will multiply each digit of one number by each digit of the other, similar to grade-school multiplication, and accumulate results in a result array of size m+n.

3. Detail the implementation

Describe how to iterate from least significant digit to most, compute products, add to the current position, and propagate carries. Mention handling of signs separately.

4. Analyze complexity and edge cases

State that time complexity is O(m*n) and space is O(m+n). Discuss edge cases: multiplication by zero, negative numbers, and leading zeros in the result.

5. Test and optimize

Propose testing with small examples and large numbers. Mention potential optimizations like using Karatsuba for very large numbers, but note that the simple approach is usually sufficient.

Key Points to Mention

  • Digit-by-digit multiplication with carry propagation
  • Time and space complexity analysis (O(m*n) time, O(m+n) space)
  • Handling of negative numbers and sign determination
  • Edge cases: zero, leading zeros, and empty arrays
  • Avoiding integer overflow by not converting to native integers
  • Potential optimizations for large inputs (e.g., Karatsuba)

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