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NVIDIA·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
Jul 2026

Summary

NVIDIA software engineer interview with a algorithms-focused coding round. The problem was straightforward on the surface but pushed you to think about efficiency at scale, which is pretty typical for NVIDIA from what I've heard.

Questions Asked (1)

Q1

Given an integer n, return the n-th prime number. Your solution should be efficient enough to handle moderately large inputs (think up to around 100,000).

Algorithms & Data StructuresTechnical Trade-offs
Author's notes

My first instinct was trial division and I started coding it up before they even finished explaining.

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AI HintsAI Generated

Suggested Approach

Clarify the problem constraints and edge cases, then propose an efficient algorithm like the Sieve of Eratosthenes with an upper bound estimate for the n-th prime. Discuss time and space complexity, and consider optimizations such as segmented sieve or wheel factorization for large n.

Pro tip: Mention that the n-th prime is approximately n * (ln n + ln ln n) for n >= 6, which helps set a tight sieve limit. Also, note that for n up to 100,000, a simple sieve is sufficient, but showing awareness of advanced methods demonstrates depth.

1. Clarify requirements and edge cases

Ask about input range, expected output format, and handle edge cases like n=1 (first prime is 2) and n<=0 (invalid).

2. Choose an efficient algorithm

Select the Sieve of Eratosthenes for its simplicity and efficiency for n up to 100,000. Estimate an upper bound for the sieve using the prime number theorem.

3. Implement and optimize

Implement the sieve with a boolean array, marking composites. Optimize by only sieving up to sqrt(limit) and starting from p*p.

4. Analyze complexity and trade-offs

Discuss time complexity O(N log log N) and space O(N). Mention alternatives like segmented sieve for memory constraints or trial division for small n.

5. Test and validate

Test with small n (e.g., n=1, n=6) and large n (e.g., n=100,000) to ensure correctness and performance.

Key Points to Mention

  • Sieve of Eratosthenes algorithm and its time/space complexity
  • Upper bound estimation for the n-th prime using the prime number theorem
  • Optimizations: only marking multiples up to sqrt(limit), starting from p*p
  • Edge cases: n=1, n<=0, and large n
  • Alternative approaches: segmented sieve, trial division, and their trade-offs
  • Memory considerations and potential use of bitset for space efficiency

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