Robinhood Software Engineer Onsite Coding Questions
25+ questions from real Robinhood Software Engineer Onsite Coding rounds, reported by candidates who interviewed there.
What does the Robinhood Onsite Coding round test?
The Robinhood 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
Robinhood Software Engineer Onsite Coding Questions
I got the interview through a referral. Their questions were all the same ones I'd seen on forums and other sites, but I didn't pass because I felt I answered them quite well. The interviewers seemed
**Problem Statement** Exchanges only trade in whole shares, but the brokerage offers fractional shares to customers. The brokerage must manage an internal inventory to bridge this gap. The system must
Robinhood | VO | Staff
Codewriting Overview: Our goal is to build a simplified version of a real Robinhood system that reads prices from a stream and aggregates those prices into historical datapoints aka candlestick charts. We\u2019re...
For onsite, I was asked an algorithms question similar to this: Users can refer each other to Robinhood. We want keep track of who is responsible for the most referrals and...
#68 Text Justification
LeetCode #68: Text Justification. Difficulty: Hard. Topics: Array, String, Simulation. Asked at Robinhood in the last 6 months.
LeetCode #121: Best Time to Buy and Sell Stock. Difficulty: Easy. Topics: Array, Dynamic Programming. Asked at Robinhood in the last 6 months.
## Problem Given a list of words and a line width `W`, implement full text justification (like a word processor). Words on each line (except the last) must be spaced so the total line length equals exactly `W`. Spaces are distributed as evenly as possible; if uneven, extra spaces go to the leftmost gaps. The last line is left-justified with single spaces. ```python def full_justify(words: list[str], W: int) -> list[str]: pass ``` ## Example ``` Input: words = ["This", "is", "an", "example", "of", "text", "justification."] W = 16 Output: ["This is an", "example of text", "justification. "] ``` ## Follow-ups 1. How does your greedy line-breaking strategy perform vs. dynamic programming (Knuth-Plass)? 2. Extend to support RTL (right-to-left) text. 3. How would you handle words longer than `W`? 4. In a mobile layout context (variable-width fonts), how does the algorithm change?
Build a Weekly Calendar Grid UI (7x24) With Event Creation Dialog
## Problem: Build a Weekly Calendar (7x24) UI With Event Creation Implement a web **Weekly Calendar** component that displays a 7-day week. ### UI/Interaction Requirements 1. The calendar is a 2D g
## Referral Count (Descendant Count in a Referral Tree) You are given a referral network where each user (node) has **at most one referrer (parent)**. The relationships form a **tree or a forest**.
## Fractional Shares: Process Trades and Maintain Inventory Implement a program that processes a sequence of stock trade operations and maintains an up-to-date inventory (positions) per ticker. Trade
Given a list of non-empty strings `strings` and an integer `k` (number of lines/buckets). Process the strings in order and assign each string to one line. **Part 1 (any placement)** - Implement a met
You are given a sequence of calendar booking requests. Each request is an interval `[start, end)` (inclusive of `start`, exclusive of `end`) where time is represented by integers. Design a calendar s
You are given a sequence of requests, each represented as a string. The system supports (at least) the following request types: 1. `SIGNUP <user>`: register a new user. 2. `FRIEND_REQUEST <from> <to>
You are given a directed acyclic graph (DAG) describing service dependencies (edge `A -> B` means service A calls service B). Each service has a base request load (e.g., QPS). The effective load on a
## Problem: Implement Two Core Methods in an Android Stock Trading System Skeleton You are given an **Android/Java/Kotlin-style** stock trading system code skeleton (the interviewer provides several
## Problem: System Dependency Load Factor You are given a list of running programs `programs` and a 2D array `prerequisites` where `prerequisites[i] = [a, b]` means program **a depends on b** (a dire
## Problem statement Design a string validation system that handles security-related constraints. It should prevent maliciously constructed inputs from bypassing validation and maintain performance u
Given a directed acyclic graph with a specified entry point, each trigger of the entry point triggers its child nodes once and continues to trigger subsequent nodes. Calculate the trigger count for al
Implement the `findViewById(int id)` method in Android. Suppose you have a simple View hierarchy where each View has a unique ID. You need to find and return the corresponding View for a given ID. Des
Design a referral program leaderboard with relational support such that if A refers B, and B refers C, C's count adds to both A and B. Implement an efficient method to query the top 3 in the leaderboa
What to Expect in the Robinhood Onsite Coding Round
The Robinhood Software Engineer Onsite Coding round has a specific calibration purpose distinct from other rounds in the loop. Across 25+ 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 Robinhood 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 Robinhood 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 Robinhood 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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