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Robinhood·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
May 2026

Summary

Robinhood SWE interview with a graph propagation problem. Not the hardest thing I've seen but the details trip you up if you're not careful with topological ordering.

Questions Asked (1)

Q1

Given a directed acyclic graph where one entry node is triggered once and each triggered node triggers all its outgoing neighbors, compute the total trigger count for every node in the graph.

Algorithms & Data StructuresSystem Design
Author's notes

The example they gave made it look easy until D showed up with two parents and I realized you can't just do a simple BFS count.

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AI HintsAI Generated

Suggested Approach

Model the problem as computing the number of distinct paths from the entry node to each node in a DAG. Use topological sorting to process nodes in order, propagating counts along edges, and handle large numbers with modulo arithmetic if needed.

Pro tip: Clarify whether the graph is guaranteed to be a DAG and whether the entry node is unique; if not, discuss handling cycles or multiple sources. Also, mention that the count can grow exponentially, so consider using modulo or big integers.

1. Clarify requirements and constraints

Ask about graph size, whether the entry node is unique, if the graph is guaranteed acyclic, and if counts should be modulo something. This ensures you address the right problem.

2. Choose the algorithm

Decide between topological sort with DP or DFS with memoization. Both work, but topological sort is often more straightforward for path counting in a DAG.

3. Initialize and propagate counts

Set the entry node's count to 1 and others to 0. Process nodes in topological order, adding the current node's count to each of its outgoing neighbors.

4. Handle edge cases and complexity

Discuss what happens if the graph has cycles (not a DAG), if the entry node is not unique, or if counts overflow. Mention time and space complexity: O(V+E) time and O(V) space.

5. Test with examples

Walk through a small example to verify correctness, such as a diamond-shaped DAG, and check that counts match the number of paths.

Key Points to Mention

  • Topological sorting to process nodes in dependency order
  • Dynamic programming to accumulate path counts
  • Handling large numbers with modulo or big integers
  • Time and space complexity: O(V+E) time, O(V) space
  • Edge cases: cycles, multiple entry nodes, disconnected nodes
  • Alternative approach: DFS with memoization

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