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NVIDIA interview notes, page 7 of 17

FAANG / Big Tech

Most of these NVIDIA write-ups come from Software Engineers (137), then Product Managers (15) and Data Scientists (10). The most reported rounds are the technical phone screen (106), the system design round (28), the hiring manager screen (13) and the product sense round (13).

166 interview notes · updated Aug 2026

NVIDIA·Software Engineer·Technical Phone Screen

May 2026
Interviewed for a SWE role at Nvidia, came across a core C++ concepts question that I thought I knew cold.
  • What are virtual functions?

“Knew the definition but fumbled explaining the vtable mechanism when they pushed deeper.”

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NVIDIA·Software Engineer·Technical Phone Screen

May 2026
Had a technical screen for a SWE role at Nvidia. One question on processor architecture, pretty foundational stuff but still worth thinking through carefully.
  • What are the differences between single core and multicore processors?

“Pretty classic hardware fundamentals question.”

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NVIDIA·Data Scientist·Hiring Manager Screen

May 2026
NVIDIA Data Scientist interview that leaned hard into the 'why us specifically' angle. Not a vibe check, they wanted receipts: actual initiatives, actual project overlap, an actual plan for day one through ninety.
  • Why NVIDIA and why this specific role? Name two recent NVIDIA initiatives relevant to this team, explain how your past work maps to the job responsibilities, and describe one concrete thing you'd do in your first 90 days to add value.
  • Where does NVIDIA's culture align or clash with how you work, and can you give an example of how you've adapted your style in a past environment?

“This is the kind of question where generic enthusiasm will bury you.”

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NVIDIA·Software Engineer·Technical Phone Screen

May 2026
NVIDIA SWE interview with a classic LRU cache problem in C, though they said C++ was fine. Pretty straightforward if you've done it before, but building everything from scratch with no stdlib shortcuts kept things honest.
  • Design and implement an LRU cache from scratch supporting get and put operations in O(1) average time. You must build the doubly linked list and hashmap yourself without relying on any built-in LRU containers.

“The C constraint was the part that tripped me up mentally at first.”

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NVIDIA·Software Engineer·Technical Phone Screen

May 2026
NVIDIA software engineer interview with a classic bracket matching problem. Pretty standard coding round, nothing too wild, but it's the kind of question that punishes you if you overthink the edge cases.
  • Given a string representing a mathematical expression, implement a function that returns true if and only if every opening bracket (including parentheses, square brackets, and curly braces) has a matching and correctly nested closing bracket.

“Stack-based solution, not complicated in theory.”

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NVIDIA·Software Engineer·Technical Phone Screen

May 2026
Went through a technical screen for a software engineer role at NVIDIA. One coding problem, sliding window stuff. Pretty standard but the details matter more than you'd think.
  • Given a string, find the length of the longest substring that contains no repeated characters.

“Classic sliding window.”

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NVIDIA·Product Manager·Onsite - Product Sense / Strategy

May 2026
Interviewed for a PM role at Nvidia. One question on metrics stood out as deceptively broad.
  • What metrics did you use to train and evaluate your models?

“This threw me a bit because it sits right at the edge of PM and technical.”

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NVIDIA·Software Engineer·Technical Phone Screen

May 2026
Solutions architect screen at Nvidia, just the one question about frontend performance debugging. Short but surprisingly meaty.
  • A user reports that the front-end application feels slow. How do you go about diagnosing where the bottleneck actually is?

“I started with the network tab and worked outward from there, which felt right but I think I skipped over some obvious client-side rendering stuff too fast.”

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NVIDIA·Software Engineer·Technical Phone Screen

May 2026
Nvidia SWE interview with a solid systems-level question about GPU training performance. Not a lot of hand-holding, they wanted you to actually think through the diagnostic process.
  • If GPU utilization is low during a training run, how would you go about debugging and benchmarking the performance issue?

“This is the kind of question where knowing the buzzwords isn't enough.”

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NVIDIA·Software Engineer·Technical Phone Screen

May 2026
NVIDIA technical screen for a software engineering role, focused entirely on graphics testing experience. One deep-dive question that basically took up the whole conversation.
  • Walk me through a graphics-related testing project from your resume end-to-end: the goal, architecture, your specific contributions, key technical decisions, coverage strategy, how you validated performance and correctness, what trade-offs you made, what went wrong, and what you'd do differently.

“This question is basically a full debrief disguised as a single ask.”

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