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Openai·Software Engineer·Technical Phone Screen·Senior

Senior
May 2026

Summary

OpenAI SWE interview with a distributed systems design problem. The question was pretty niche and required designing a full async message protocol from scratch, which I wasn't expecting to go that deep on.

Questions Asked (1)

Q1

Given a distributed tree where nodes can only communicate via async messages (sendAsyncMessage and receiveMessage), design a protocol so that the root node can reconstruct and print the full topology as a string like 1(2(4,5),3(6)). You need to handle concurrent message arrivals and distinguish request from response messages.

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

This one took me a while to even get my head around.

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AI HintsAI Generated

Suggested Approach

Design a request-response protocol where the root sends a 'getTopology' request to its children, each child recursively gathers its subtree's topology and sends it back as a response. Use message IDs to correlate requests and responses, and handle concurrent arrivals by processing messages as they come, possibly using a state machine per node.

Pro tip: Emphasize the importance of unique message IDs and timeouts to handle lost messages, and discuss how to avoid deadlocks by ensuring responses are sent only after all children have responded.

1. Define message types and protocol

Specify request and response message formats, including a type field, a unique message ID, sender/receiver IDs, and payload (e.g., topology string).

2. Design node behavior

Each node, upon receiving a request, sends requests to all its children, waits for their responses, aggregates them into its own subtree topology, and sends a response to its parent.

3. Handle concurrency and correlation

Use message IDs to match responses to requests. Maintain a pending requests map to track outstanding child responses and process incoming messages asynchronously.

4. Root aggregation and printing

The root initiates the process, collects all child responses, constructs the full topology string, and prints it.

5. Discuss edge cases and optimizations

Address timeouts, retries, duplicate messages, and potential optimizations like caching or pipelining.

Key Points to Mention

  • Unique message IDs for request-response correlation
  • Asynchronous message handling and state management per node
  • Recursive aggregation of topology strings
  • Handling concurrent arrivals without blocking
  • Timeouts and retries for reliability
  • Avoiding deadlocks and ensuring termination

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