← Openai Interview Insights

Openai·Software Engineer·Onsite - Coding / Algorithms·Senior

Senior
Jun 2026

Summary

OpenAI SWE interview with a meaty systems question: build a real async message bus from scratch, not just sketch one on a whiteboard. The kind of problem where the details actually matter and hand-waving gets you nowhere.

Questions Asked (1)

Q1

Implement a runnable async message bus: support registering multiple nodes with receiveMessage callbacks, ensure delivery is asynchronous via a queue and dispatch loop or thread pool, then use it to simulate a full distributed workflow like node counting or topology reconstruction. Write tests for correctness, concurrency with multiple in-flight requests, and optionally deduplication under duplicate deliveries.

System DesignAlgorithms & Data StructuresTechnical Trade-offs
Author's notes

This one took me a while to even scope properly.

Create a free account to read the full note

AI HintsAI Generated

Suggested Approach

Start by clarifying requirements and constraints, then design a simple but extensible message bus with a queue and dispatch loop. Implement the bus, integrate it into a distributed workflow simulation, and write tests covering correctness, concurrency, and deduplication. Explain trade-offs and potential improvements.

Pro tip: Emphasize the importance of asynchronous delivery and how you ensure thread safety and ordering without sacrificing performance. Mention that you would use a bounded queue and backpressure to handle load spikes, and discuss how deduplication can be implemented with a seen set or idempotent receivers.

1. Clarify requirements and constraints

Ask about expected throughput, latency, ordering guarantees, and failure scenarios. Confirm whether deduplication is required and what the distributed workflow entails.

2. Design the message bus architecture

Outline the components: a thread-safe queue, a dispatcher (single thread or thread pool), and a registry of nodes with receiveMessage callbacks. Discuss how to handle concurrency and avoid race conditions.

3. Implement the message bus

Write code for registering nodes, enqueueing messages, and dispatching asynchronously. Use appropriate synchronization primitives (e.g., mutex, condition variable) and consider using a thread pool for scalability.

4. Simulate a distributed workflow

Choose a simple workflow like node counting or topology reconstruction. Implement nodes that send and receive messages to achieve the goal, demonstrating the bus in action.

5. Write tests and discuss trade-offs

Test correctness (all messages delivered), concurrency (multiple in-flight requests), and deduplication (if applicable). Discuss trade-offs between simplicity and performance, and potential improvements like using a lock-free queue or actor model.

Key Points to Mention

  • Asynchronous delivery via a queue and dispatch loop or thread pool
  • Thread safety and synchronization mechanisms (mutex, condition variable, atomic operations)
  • Handling multiple in-flight requests and ensuring no message loss
  • Deduplication strategies (e.g., message IDs, idempotent receivers, seen set with TTL)
  • Trade-offs between different concurrency models (single dispatcher vs. thread pool, bounded vs. unbounded queue)
  • Testing strategies: unit tests for bus, integration tests for workflow, stress tests for concurrency

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