What does Nutanix ask in software engineer interviews?

Nutanix SWE interviews typically cover data structures and algorithms, system design, and behavioral questions. Candidates report coding rounds using LeetCode-style problems, plus architecture design and leadership questions for senior roles. LeakCode aggregates verified reports from 35+ candidates.

How many rounds does Nutanix have in its interview process?

The Nutanix interview process typically includes a recruiter screen, a phone/online assessment round, and 4-5 onsite or virtual interviews covering coding, system design, and behavioral competencies. The exact number of rounds varies by role and team.

How hard is it to get a job at Nutanix?

Nutanix is highly selective. Candidates report pass rates in the single digits for competitive engineering roles. Strong data structures fundamentals, system design ability, and clear communication are required to advance past initial screens.

What topics should I study for a Nutanix interview?

Based on aggregated Nutanix interview reports: arrays and hash maps, trees and graphs, dynamic programming, system design (distributed systems, databases, caching), and behavioral questions using the STAR method. LeakCode shows exactly which topics appear most often.

Does Nutanix ask LeetCode hard questions?

Interview difficulty at Nutanix varies. Coding rounds typically include medium to hard difficulty algorithmic problems. System design questions are open-ended and evaluated on depth of reasoning. Browse real Nutanix interview questions on LeakCode to see the actual difficulty distribution.

Nutanix Interview Questions (2026)

13 questions · 13 experiences · GeeksforGeeks (14) · LeetCode (9) · 1p3a (3)

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Question Details

Problem Statement Data Engineers must schedule n long-running tasks on remote servers while minimizing total cost. There are two available servers: 1.

Paid Server: Processing task i costs cost[i] and takes time[i] units of time. 2.

Free Server: Processing any task costs 0 and takes 1 unit of time. However, the free server can only process tasks while the paid server is occupied. Since the free server processes tasks at a rate of 1 per time unit, running task i on the paid server allows time[i] other tasks to be processed on the free server simultaneously.

Example

Input: n = 4, cost = [1, 1, 3, 4], time = [3, 1, 2, 3] *

Strategy: Schedule the first task (index 0) on the paid server. *

Cost: 1. *

Time on Paid: 3 units. *

Effect: During these 3 units, the remaining 3 tasks are processed on the free server (taking 1 unit each). *

Result: All 4 tasks are completed for a total cost of 1.

Function Description * cost[n]: Integer array representing the cost of each task on the paid server. * time[n]: Integer array representing the duration of each task on the paid server.

Constraints * $1 \le n \le 10^3$ * $1 \le cost[i] \le 10^6$ * $1 \le time[i] \le 10^3$

Solution Approach This problem can be modeled as a variation of the 0/1 Knapsack Problem. The objective is to select a subset of tasks to run on the paid server such that the remaining tasks can be covered by the free server. * If task i is chosen for the paid server, it contributes time[i] units of "free server capacity." * Additionally, task i itself is completed, effectively covering 1 task count. * Therefore, running task i on the paid server contributes a total "value" of time[i] + 1 towards the total number of tasks n. The problem reduces to finding the minimum cost to achieve a total combined time value of at least n.

Algorithm: 1. Initialize a DP array dp of size n + 1 with infinity, where dp[0] = 0. 2. dp[j] represents the minimum cost to cover j tasks. 3. Iterate through every task i with associated c = cost[i] and t = time[i]. 4. Update the DP table in reverse (from n down to 1): * dp[j] = min(dp[j], dp[max(0, j - t - 1)] + c) 5. The answer is stored in dp[n].

Time Complexity: $O(n^2)$

Space Complexity: $O(n)$

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Topics

Arrays Dynamic Programming Sql

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Nutanix Interview Process Overview

The Nutanix interview process typically includes a recruiter screen, one to two technical phone screens, and a 4-6 round on-site or virtual on-site loop. Each round serves a distinct calibration purpose: coding rounds measure correctness, code quality, and complexity reasoning; system design rounds measure architectural judgment at the appropriate level; behavioral rounds measure ownership, leadership scope, and collaboration. Reports tagged on LeakCode from 2024-2026 show Nutanix runs a calibrated process consistent with industry norms for companies of its tier.

Difficulty calibration: Nutanix coding rounds typically run medium difficulty with follow-up depth as the senior discriminator. System design rounds expect production-grade trade-off articulation at L4+ levels. Behavioral rounds expect quantified outcomes ("reduced p99 latency from 800ms to 120ms") rather than vague impact claims. The candidates who advance consistently demonstrate clear thinking out loud rather than perfect final answers.

How To Use Nutanix Question Reports

Real candidate-reported interview questions are a calibration tool, not a memorization target. Nutanix updates its question pool every 2-4 months; memorizing exact problems risks misleading you when the interviewer uses a variant. The high-leverage approach: identify the patterns that appear repeatedly in Nutanix reports, practice those patterns on similar (not identical) problems, and use the reports to understand the interviewer's typical follow-up depth.

Filter the questions above by round type, difficulty, and recency. Focus first on reports from the past 6-12 months; older reports may reference questions that have since rotated out of Nutanix's pool. Reports tagged with quantified difficulty and explicit round type are higher-signal than reports without those tags. The metadata filters help you build a focused study plan in 1-2 hours rather than 8-10 hours of unstructured browsing.

Common Nutanix Interview Mistakes

Reports tagged "no hire" at Nutanix consistently surface a few patterns: jumping into code without clarifying requirements, coding silently for extended periods, missing edge cases (empty input, single element, large input, overflow), producing working code the candidate cannot refactor when probed, and behavioral stories that use "we" instead of "I" diluting individual signal. Strong candidates explicitly avoid these patterns by following a consistent round template.

The single most predictive failure mode in recent reports: not asking clarifying questions. Interviewers are explicitly trained to weight this dimension. Strong candidates ask 3-5 clarifying questions even on problems that look obvious; weak candidates dive into implementation immediately. Strong candidates also verbalize their approach before writing code; weak candidates code in silence and lose the communication dimension of the round's calibration.