NVIDIA Software Engineer Onsite Coding Questions
69+ questions from real NVIDIA Software Engineer Onsite Coding rounds, reported by candidates who interviewed there.
What does the NVIDIA Onsite Coding round test?
The NVIDIA onsite coding round is the core technical evaluation. Software Engineer candidates typically see 2-3 algorithm and data structure problems. Problems range from medium to hard difficulty, and interviewers evaluate both correctness and code quality.
Top Topics in This Round
NVIDIA Software Engineer Onsite Coding Questions
Nvidia| Back End Developer - Python | 16/08/23
First screen - Selected Questions about myself my project REST API dockers Django a little bit of background First Round -Selected Desgin - About my past project When use Multi Threading and Multi Processing -...
#146 LRU Cache
LeetCode #146: LRU Cache. Difficulty: Medium. Topics: Hash Table, Linked List, Design, Doubly-Linked List. Asked at Nvidia in the last 6 months.
#3 Longest Substring Without Repeating Characters
LeetCode #3: Longest Substring Without Repeating Characters. Difficulty: Medium. Topics: Hash Table, String, Sliding Window. Asked at Nvidia in the last 6 months.
#2433 Find The Original Array of Prefix Xor
LeetCode #2433: Find The Original Array of Prefix Xor. Difficulty: Medium. Topics: Array, Bit Manipulation. Asked at Nvidia in the last 6 months.
#20 Valid Parentheses
LeetCode #20: Valid Parentheses. Difficulty: Easy. Topics: String, Stack. Asked at Nvidia in the last 6 months.
LeetCode #121: Best Time to Buy and Sell Stock. Difficulty: Easy. Topics: Array, Dynamic Programming. Asked at Nvidia in the last 6 months.
#23 Merge k Sorted Lists
LeetCode #23: Merge k Sorted Lists. Difficulty: Hard. Topics: Linked List, Divide and Conquer, Heap (Priority Queue), Merge Sort. Asked at Nvidia in the last 6 months.
#761 Special Binary String
LeetCode #761: Special Binary String. Difficulty: Hard. Topics: String, Divide and Conquer, Sorting. Asked at Nvidia in the last 6 months.
#1 Two Sum
LeetCode #1: Two Sum. Difficulty: Easy. Topics: Array, Hash Table. Asked at Nvidia in the last 6 months.
#42 Trapping Rain Water
LeetCode #42: Trapping Rain Water. Difficulty: Hard. Topics: Array, Two Pointers, Dynamic Programming, Stack, Monotonic Stack. Asked at Nvidia in the last 6 months.
#412 Fizz Buzz
LeetCode #412: Fizz Buzz. Difficulty: Easy. Topics: Math, String, Simulation. Asked at Nvidia in the last 6 months.
#75 Sort Colors
LeetCode #75: Sort Colors. Difficulty: Medium. Topics: Array, Two Pointers, Sorting. Asked at Nvidia in the last 6 months.
#88 Merge Sorted Array
LeetCode #88: Merge Sorted Array. Difficulty: Easy. Topics: Array, Two Pointers, Sorting. Asked at Nvidia in the last 6 months.
LeetCode #198: House Robber. Difficulty: Medium. Topics: Array, Dynamic Programming. Asked at Nvidia in the last 6 months.
LeetCode #128: Longest Consecutive Sequence. Difficulty: Medium. Topics: Array, Hash Table, Union-Find. Asked at Nvidia in the last 6 months.
#56 Merge Intervals
LeetCode #56: Merge Intervals. Difficulty: Medium. Topics: Array, Sorting. Asked at Nvidia in the last 6 months.
LeetCode #347: Top K Frequent Elements. Difficulty: Medium. Topics: Array, Hash Table, Divide and Conquer, Sorting, Heap (Priority Queue), Bucket Sort, Counting, Quickselect. Asked at Nvidia in the last 6 months.
#2270 Number of Ways to Split Array
LeetCode #2270: Number of Ways to Split Array. Difficulty: Medium. Topics: Array, Prefix Sum. Asked at Nvidia in the last 6 months.
#268 Missing Number
LeetCode #268: Missing Number. Difficulty: Easy. Topics: Array, Hash Table, Math, Binary Search, Bit Manipulation, Sorting. Asked at Nvidia in the last 6 months.
#283 Move Zeroes
LeetCode #283: Move Zeroes. Difficulty: Easy. Topics: Array, Two Pointers. Asked at Nvidia in the last 6 months.
What to Expect in the NVIDIA Onsite Coding Round
The NVIDIA Software Engineer Onsite Coding round has a specific calibration purpose distinct from other rounds in the loop. Across 69+ verified reports on LeakCode for this exact round type, the consistent expectations: clear scoping of the problem before diving into a solution, explicit reasoning about complexity, structured handling of edge cases, and the ability to discuss trade-offs between two reasonable approaches.
Reports tagged with the Onsite Coding round at NVIDIA show recurring patterns in difficulty and topic distribution. The Onsite Coding round is typically 45-60 minutes; the interviewer is calibrated against a specific rubric. The discriminator between candidates who advance and candidates who do not is rarely the final correctness of the answer. It is the path: did you clarify, did you verbalize your approach, did you handle edge cases, and did you communicate throughout.
How To Prepare for This Specific Round
Filter the questions below to the most recent reports (past 6-12 months). Questions tagged for this exact round type from this exact company at this exact role level are the highest-signal data available. Older reports may reference questions that have since rotated out of the company's pool.
Practice 4-6 representative problems from this set under timed conditions. The goal is not memorization (companies rotate questions); the goal is to internalize the patterns the interviewer typically reaches for and the depth of follow-up to expect. Reports on LeakCode also tag the typical follow-up depth at this round type, which is the discriminating signal between hire and no-hire calibration.
Onsite Coding Round Timing and Format
The Onsite Coding round at NVIDIA typically runs 45-60 minutes. Use the first 2-3 minutes to clarify requirements; you should never start coding or designing without verifying the input/output format, constraints, and edge cases out loud. Use the next 5-7 minutes to verbalize your approach before writing any code. The middle 20-30 minutes are implementation. Reserve the final 10 minutes for testing with concrete examples and discussing optimization or trade-offs.
Time budget discipline is one of the most reliable senior-vs-junior discriminators in this round. Strong candidates verbalize where they are in their budget out loud ("I've used about 20 minutes, I have 15 minutes left for testing and one optimization"). This signals engineering maturity to the interviewer and creates positive feedback they can capture in writing.
Common Failure Modes in This Round
Reports tagged "no hire" at NVIDIA Software Engineer Onsite Coding commonly cite: coding silently without verbalizing approach, jumping to implementation before clarifying requirements, missing edge cases (empty input, single element, very large input), producing working code that the candidate cannot refactor when asked, and failing to test their solution with concrete examples before declaring done.
The single most predictive failure mode in 2025-2026 reports: not asking clarifying questions. Interviewers at all FAANG companies are explicitly trained to weight this dimension. Strong candidates ask 3-5 clarifying questions even on problems that look obvious; weak candidates dive into code immediately. The clarifying-question check is often the first signal recorded in the interviewer's notes.
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