Intuit

Intuit Software Engineer Onsite Coding Questions

41+ questions from real Intuit Software Engineer Onsite Coding rounds, reported by candidates who interviewed there.

41
Questions
8
Topic Areas
10+
Sources

What does the Intuit Onsite Coding round test?

The Intuit 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

Intuit Software Engineer Onsite Coding Questions

**Candidate Profile:** Software Development Engineer at a MAANG company (2.3 years of experience). Applied via LinkedIn referral. **Round 0: Technical Phone Interview (90 minutes)** The session combin

Intuit Technical round

System Design 2025

My friend recently got this interview, A4A final interview process. 1. For the Craft Demo, working on the [Java/Python/Fullstack] repo from the Intuit GitHub. Curious — anyone who’s gone through this:

Hi Folks I have a Senior Software Engineer - Onsite with Craft demo. The craft Demo preparation is a 90 minutes session where I will be building whatever asked. I...

Triangular Farms Easy Shyam is a farmer who owns a large plot near Jewar. Now, since land acquisition for Asia\'s largest airport has started, he will have to sell his farms to...

Intuit | onsite | ROBBERY | Medium

Dynamic Programming 2022

ROBBERY ### Medium A thief plans to rob in a shop having 2 types of toys typeA toy and typeB toy. Toys have some weight and cost. i.e. Toy A has weight given by...

Aman and Coding ### Hard Aman is learning to code again after a break of 6 months. Now aman is provided with n questions in a test and he is lazy so...

Hi Folks, I got this question during onsite interview with Intuit. Any help to solve/approach is highly appreciated. Problem Statement: Given a string where each character is a sign (\'<\', \'>\', \'=\') and...

Intuit onsite

Math 2021

I was asked this question for my Intuit onsite round. Given an integer k, and an array of size n, transform the array to size k such that the resultant array...

LeetCode #1411: Number of Ways to Paint N × 3 Grid. Difficulty: Hard. Topics: Dynamic Programming. Asked at Intuit in the last 6 months.

#664 Strange Printer

Dynamic Programming

LeetCode #664: Strange Printer. Difficulty: Hard. Topics: String, Dynamic Programming. Asked at Intuit in the last 6 months.

LeetCode #66: Plus One. Difficulty: Easy. Topics: Array, Math. Asked at Intuit in the last 6 months.

LeetCode #1931: Painting a Grid With Three Different Colors. Difficulty: Hard. Topics: Dynamic Programming. Asked at Intuit in the last 6 months.

LeetCode #3719: Longest Balanced Subarray I. Difficulty: Medium. Topics: Array, Hash Table, Divide and Conquer, Segment Tree, Prefix Sum. Asked at Intuit in the last 6 months.

LeetCode #20: Valid Parentheses. Difficulty: Easy. Topics: String, Stack. Asked at Intuit in the last 6 months.

#1 Two Sum

Hash Table

LeetCode #1: Two Sum. Difficulty: Easy. Topics: Array, Hash Table. Asked at Intuit in the last 6 months.

LeetCode #994: Rotting Oranges. Difficulty: Medium. Topics: Array, Breadth-First Search, Matrix. Asked at Intuit in the last 6 months.

#647 Palindromic Substrings

Dynamic Programming

LeetCode #647: Palindromic Substrings. Difficulty: Medium. Topics: Two Pointers, String, Dynamic Programming. Asked at Intuit in the last 6 months.

LeetCode #3148: Maximum Difference Score in a Grid. Difficulty: Medium. Topics: Array, Dynamic Programming, Matrix. Asked at Intuit in the last 6 months.

LeetCode #2812: Find the Safest Path in a Grid. Difficulty: Medium. Topics: Array, Binary Search, Breadth-First Search, Union-Find, Heap (Priority Queue), Matrix. Asked at Intuit in the last 6 months.

LeetCode #468: Validate IP Address. Difficulty: Medium. Topics: String. Asked at Intuit in the last 6 months.

What to Expect in the Intuit Onsite Coding Round

The Intuit Software Engineer Onsite Coding round has a specific calibration purpose distinct from other rounds in the loop. Across 41+ 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 Intuit 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 Intuit 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 Intuit 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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