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NVIDIA·Software Engineer·Technical Phone Screen·Intermediate

IntermediatePrefer not to say
Jun 2026

Summary

Nvidia SWE interview, got a recursion problem that looks trivial on the surface but has a few ways to go about it.

Questions Asked (1)

Q1

Write a function that prints numbers from 1 to n without using any loop construct.

Algorithms & Data Structures
Author's notes

My first instinct was recursion and that's basically the answer, but I fumbled a bit explaining the base case clearly.

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AI HintsAI Generated

Suggested Approach

Clarify the constraints (e.g., recursion allowed, language features) and then present a recursive solution that prints numbers from 1 to n. Discuss trade-offs like stack depth and potential optimizations like tail recursion or using functional constructs.

Pro tip: Mention that recursion uses the call stack as an implicit loop, and for large n, consider alternatives like using a generator or built-in functions to avoid stack overflow. This shows awareness of practical limits.

1. Clarify requirements

Ask if recursion is allowed, if the function should be pure or have side effects, and if there are constraints on n (e.g., large values).

2. Choose a recursive approach

Design a function that prints numbers from 1 to n by recursively calling itself with n-1 and then printing n (or vice versa).

3. Handle base case

Define the base case when n <= 0 to stop recursion and avoid infinite calls.

4. Discuss trade-offs and alternatives

Mention stack overflow risk for large n, and suggest tail recursion optimization or using language-specific features like generators or built-in functions.

5. Provide code and test

Write clean code in the preferred language, and walk through an example (e.g., n=3) to demonstrate correctness.

Key Points to Mention

  • Recursion as an alternative to loops
  • Base case to terminate recursion
  • Stack overflow and depth limits
  • Tail recursion optimization (if supported)
  • Language-specific features (e.g., Python's range, JavaScript's Array.from)
  • Time and space complexity: O(n) time, O(n) stack space

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