DoorDash Software Engineer Onsite Coding Questions
117+ questions from real DoorDash Software Engineer Onsite Coding rounds, reported by candidates who interviewed there.
What does the DoorDash Onsite Coding round test?
The DoorDash 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
DoorDash Software Engineer Onsite Coding Questions
DoorDash | Onsite | Design a Donation App
Say if DoorDash along with other partners across US is sponsoring for 3-day charity event where huge partipation of more than 3 million customers are expected to participare and simply...
Doordash Software Engineer Onsite Interview Experience and Insights
There were four rounds in total. Coding - Codecraft The Dasher payment question used a scanline approach. Everything had to be written from the class definition onwards. Using Java meant I was incredi
DoorDash Backend Engineer Onsite Interview Experience 2024
Round 1: System Design + Domain Knowledge The problem focused on designing an Ads Click Aggregator. The session was conducted by a Data Engineer and proved difficult due to the interviewer’s appar
**Problem Statement** You are given a city represented as a 2D grid containing the following cell types: * `' '`: Open road. Travel is allowed in four directions (up, down, left, right). * `'X'`: Bloc
Doordash Onsite AI Codecraft Interview Experience (2024)
This round was a pretty fun round and you do need to come with a local editor with an AI setup. A ChatGPT tab is not enough. You need to use stuff like VSCode with Copilot, Cursor, claude code, etc. I
DoorDash Virtual Onsite Software Engineer Interview Experience
HM BQ: The hiring manager was very nice and kept asking follow-up questions about the impact. Branding Round: I worked on a file system and had to implement a Trie tree. I talked a bit about OOP funda
DoorDash Onsite Debugging Interview Experience for Software Engineer
Overview * 5 minute intro * 50 minutes on debugging exercise * 5 minutes for Q/A ## Debugging Dasher Assignment Service You have a single `main.py` file (or equivalent in your chosen programming lan
I went to the nearest DashMart for the coding interview. I was interviewed by a middle-aged white man with a strong classmate vibe; there wasn't much interaction during the interview. SD asked us to d
DoorDash Code Craft Round Midlevel SWE Onsite Interview Experience USA
**Context and Format** The interview consisted of a collaborative, practical coding exercise rather than a standard algorithmic problem. The scenario involved migrating from a monolith to a microservi
DoorDash | Onsite | Number of Islands
First question: LeetCode 200. Number of Islands (https://leetcode.com/problems/number-of-islands/) * Follow-up: LeetCode 695. Max Area of Island (https://leetcode.com/problems/max-area-of-island/)
DoorDash | Onsite | Available Deliveries
Same question as this post: https://leetcode.com/discuss/interview-question/1544410/Doordash-TPS-Senior-Software-Engineer At DoorDash, many deliveries are scheduled well in advance. To improve our assignment rate, we want to enable dashers to claim these scheduled deliveries early....
DoorDash onsite interview (new question!)
Never met this before, please check: Given a sequence of timestamps & actions of a dasher\'s activity within a day, we would like to know the active time of the dasher....
DoorDash Onsite Interview (new question again!)
I never met this before, either..... Any idea please? Thanks! Given a streaming data of the form (timestamp, value), find the maximum value in the stream in the last X seconds. Assume...
DoorDash | New Grad | 2 Questions Onsite
I heard that you should practice from this pool koko-eating-bananas subarray-sum-equals-k swim-in-rising-water asteroid-collision longest-common-subsequence operations-on-tree my-calendar-ii car-pooling minimum-size-subarray-sum k-diff-pairs-in-an-array next-greater-element-iii basic-calculator serialize-and-deserialize-binary-tree decode-ways unique-paths-ii I gotserialize and deserialize a binary tree and a question about restaurant names, which was just about anagrams and swapping letters in...
DoorDash | Coding | Max Tree Path Sum
From an onsite Given a binary tree, find the maximum path sum from any two "alive nodes" within the tree. We can assume a node is an alive node if and...
Validate Orders Path (Doordash)
Doordash virtual onsite question: Given a set list of pickups and deliveries for order, figure out if the given list is valid or not. A delivery cannot happen for an order before...
Longest valid orders path (Doordash)
DoorDash virtual onsite question: Asked this: https://leetcode.com/discuss/interview-question/846916/Validate-Orders-Path-(Doordash) Follow up: Find longest valid subarray Ex 1: orders = [\'P1\', \'P1\', \'D1\'], return [\'P1\', \'D1\'] Ex 2: orders = [\'P1\', \'P1\', \'D1\', \'D1\'], return [\'P1\',...
Bloomberg | Onsite | Key Value Store with transactions
Implement (code) a Key value store with transactions. Write a Fully funcitonal code in 25-30 min in interview with test cases Set Get Delete are methods in Key value store for transactions Begin Commit Rollback Ideas are welcome,
#286 Walls and Gates
LeetCode #286: Walls and Gates. Difficulty: Medium. Topics: Array, Breadth-First Search, Matrix. Asked at DoorDash in the last 6 months.
#1235 Maximum Profit in Job Scheduling
LeetCode #1235: Maximum Profit in Job Scheduling. Difficulty: Hard. Topics: Array, Binary Search, Dynamic Programming, Sorting. Asked at DoorDash in the last 6 months.
What to Expect in the DoorDash Onsite Coding Round
The DoorDash Software Engineer Onsite Coding round has a specific calibration purpose distinct from other rounds in the loop. Across 117+ 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 DoorDash 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 DoorDash 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 DoorDash 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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