← Openai Interview Insights

Openai·Software Engineer·Technical Phone Screen·Senior

Senior
Apr 2026

Summary

Interviewed for an iOS role at OpenAI and got a coding problem that was basically a mini billing system for GPU credits. Not what I expected going in, but it made sense given what they're building.

Questions Asked (1)

Q1

Design and implement a credit ledger system that supports crediting an account, debiting credits for usage events, querying the current balance, and optionally reverting a past transaction. Discuss the data structures you'd use and analyze the time and space complexity.

Algorithms & Data StructuresSystem DesignTechnical Trade-offs
Author's notes

Took me a minute to realize this wasn't just a simple balance tracker.

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AI HintsAI Generated

Suggested Approach

Start by clarifying requirements and constraints, then propose an append-only ledger with a hash map for account balances and a transaction log for auditability. Discuss how to support efficient balance queries and reverts, and analyze time/space complexity for each operation.

Pro tip: Emphasize idempotency and consistency: use unique transaction IDs to prevent duplicate credits/debits, and consider how reverts affect the ledger without mutating history.

1. Clarify Requirements

Ask about expected scale, consistency needs, and whether reverts are frequent. Confirm if transactions are immutable and if balance queries must be real-time.

2. Design Data Structures

Propose an append-only transaction log (e.g., array or linked list) and a hash map for current balances. For reverts, store transaction details and mark them as reverted.

3. Implement Core Operations

Define credit, debit, getBalance, and revert methods. Ensure debits check for sufficient balance and reverts adjust balances atomically.

4. Analyze Complexity

Credit/debit: O(1) time, O(1) space per transaction. getBalance: O(1). Revert: O(1) if transaction ID is known, else O(n) to find. Space: O(n) for n transactions.

5. Discuss Trade-offs and Extensions

Mention alternatives like using a balanced tree for ordered queries, or a database for persistence. Discuss concurrency control and idempotency.

Key Points to Mention

  • Use of append-only ledger for auditability and immutability
  • Hash map for O(1) balance lookups
  • Transaction IDs for idempotency and efficient reverts
  • Handling insufficient balance and atomicity
  • Time and space complexity for each operation
  • Potential need for persistence and concurrency control

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