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Google·Software Engineer·Onsite - Multi Round·Senior

SeniorPending
Jun 2026United States

Summary

Went through the full Google Cloud Storage infrastructure loop and felt decent about most of it, except one coding round with a nasty combinatorics problem that I'm pretty sure dragged my rating down. Recruiter moved things forward the next day, but the process is team matching first, then hiring committee, so I'm sitting in limbo trying to figure out how worried to actually be.

Questions Asked (1)

Q1

Solve a combinatorics problem involving variable-base numerical representations.

Algorithms & Data Structures
Author's notes

This one wrecked me.

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AI HintsAI Generated

Suggested Approach

First, clarify the problem statement and constraints, especially the variable bases and what is being counted. Then, model the problem as counting numbers in a mixed-radix system, derive a formula or recurrence, and validate with small examples before coding.

Pro tip: Demonstrate strong communication by thinking aloud and asking clarifying questions; Google values problem-solving process over just the final answer. Also, consider edge cases like zero and empty representations to show thoroughness.

1. Clarify the problem

Ask questions to fully understand the problem: what are the bases, what is the range of numbers, and what exactly needs to be computed? Confirm input/output format and constraints.

2. Model as mixed-radix

Recognize that variable-base representations are mixed-radix numbers. Map the problem to counting or converting in this system, identifying the place values and digit ranges.

3. Derive formula or recurrence

Develop a mathematical formula or recurrence relation to solve the problem efficiently. Consider dynamic programming if counting is involved, or direct conversion if it's a single number.

4. Validate with examples

Test your approach on small, hand-computable cases to ensure correctness. Check edge cases like zero, maximum values, and empty inputs.

5. Implement and analyze

Write clean code, then analyze time and space complexity. Discuss potential optimizations and trade-offs.

Key Points to Mention

  • Mixed-radix number systems and their properties
  • Conversion between mixed-radix and decimal representations
  • Counting techniques (e.g., combinatorics, dynamic programming)
  • Handling edge cases (zero, empty representation, maximum digits)
  • Time and space complexity analysis
  • Potential optimizations (e.g., precomputation, memoization)

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