How DoorDash Interviews in 2026: Process, Questions & What They Score

• Find the k nearest restaurants to a given user location (a recurring DoorDash-flavored variant of the k-nearest-neighbors/closest-points problem).
• Schedule tasks for a single-threaded CPU and return the order in which they are processed.
• Given a grid of rooms, gates, and walls, fill each empty room with the distance to its nearest gate ('Walls and Gates').
• Find the longest increasing path in a matrix.
• Compute the maximum path sum between two leaf nodes in a binary tree.
• Given an array, find three elements that sum to a target value (3Sum-style).
• Implement a Trie (prefix tree) supporting prefix matching.
• Find the largest contiguous subarray sum.

• Design a real-time Dasher/driver location-tracking system that ingests high-frequency GPS updates at scale.
• Design DoorDash's food-delivery marketplace/dispatch system from scratch.
• Design a matching/dispatch service that assigns Dashers to incoming orders.
• Design a notification system for multi-channel order-status updates to consumers, merchants, and Dashers.
• Design an ETA-prediction system for deliveries.
• Design a distributed job scheduler.
• Design an API rate limiter (often framed as a low-level design exercise).

• Build Dasher payout/pay-calculation logic for a new service that calls an upstream dependency.
• Design and implement an API that aggregates several internal services, handling timeouts and retries.
• Implement an order or menu module from a given set of business rules.
• Given an unfamiliar codebase with a reported bug, use unit tests to isolate and fix the issue, then explain your reasoning as you go.
• In the AI-assisted working session: implement or extend an order-dispatch system, build a 'smart menu composer,' or build a workflow engine that parses a text description and executes steps (e.g., issuing a refund), using an AI coding tool to implement, debug, and validate the change while narrating how you direct and verify its output.

• Tell me about your biggest failure and what you learned from it.
• Describe a time you disagreed with a teammate or manager and how you resolved it.
• Tell me about a decision you made with incomplete data.
• Walk me through a project where priorities or requirements shifted midway through.
• Tell me about a time you took ownership of a problem outside your defined scope ('be an owner').
• Describe a time you had to act with urgency and imperfect information ('bias for action').
• Tell me about a time you helped make your team more inclusive or collaborative ('make room at the table').
• Why DoorDash? What do you like or dislike about the product as a consumer, merchant, or Dasher?

• How would you improve Dasher retention or reduce Dasher churn?
• Design a success-metrics framework for a new DoorDash feature (e.g., group ordering).
• How would you evaluate and prioritize DoorDash's expansion into a new market or vertical?
• A key marketplace metric (e.g., order completion rate) drops 10% week-over-week. How would you investigate the cause?
• How would you balance trade-offs across consumers, Dashers, and merchants when changing delivery pricing or Dasher pay?
• Write a SQL query to compute peak-hour earnings or delivery-latency percentiles from a given schema (expect window functions, CTEs, and multi-table joins).
• Estimate the addressable market for DoorDash entering a new city or country.

DoorDash's process has 7 stages, in order: Application / Resume Screen, Recruiter Phone Screen, Technical / Role-Specific Phone Screen, Take-Home Assignment (role-dependent), Virtual Onsite Loop, Behavioral / Hiring Manager & Values Round, Decision / Offer.

DoorDash evaluates candidates against DoorDash Values (internal culture framework used in behavioral/hiring-manager rounds): We are leaders: Be an owner, We are leaders: Dream big, start small, We are leaders: Choose optimism and have a plan, We are doers: Bias for action, We are doers: Operate at the lowest level of detail, We are doers: And, not either/or, We are learners: Truth seek, We are learners: 1% better every day, We are learners: Consumer-obsessed, not competitor-focused, We are one team: Make room at the table, We are one team: Think outside the room, We are one team: One team, one fight.

DoorDash's question bank spans 5 categories: Coding & Data Structures/Algorithms (Software Engineering); System Design (mid-level and senior Software Engineering); Practical Engineering: CodeCraft, Debugging & AI-Assisted Working Session; Behavioral & Values Fit; Product Sense & Analytics (Product Management / Data Science / Analytics roles).

This playbook is high confidence, compiled from 24 public sources, and last verified July 7, 2026. It describes one well-documented shape of DoorDash's interviews, not a guarantee of what any individual loop will look like.