Waymo Interview Questions (May 2026)

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Waymo Internship Interview Experience and Questions

1p3a SWE USA
Nov 2025 Question

Python DataClass: Implement Basic Key-Value Store with Get/Set

1p3a_oj SWE
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Serialize and Deserialize Binary Tree with Character Values

1p3a_oj SWE
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System Design - Ego Behavior Prediction Model

1p3a_oj SWE
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K-means Clustering Implementation

1p3a_oj SWE
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Count Elements in an Array

1p3a_oj SWE
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Unknown LeetCode (Graph-related) — Round 1

1p3a_oj SWE
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Minimum Index Distance Between 1 and 2

1p3a_oj SWE
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Parse CSV String Into a Usable Data Structure (with Corruption Handling)

1p3a_oj SWE
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Randomly Generate a Fully-Populated Grid with 4 Equal-Size Connected Components

1p3a_oj SWE
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#871 Minimum Number of Refueling Stops

LeetCode SWE
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Waymo SWE Phone - Board

InterviewDB
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Car Leasing: Model a Car Leasing System with Reservations, Conflicts, and Billing

InterviewDB
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Closest Bus Stop: Find the Nearest Bus Stop to a Query Point Using Spatial Data

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Waymo SWE Onsite - Knight Dialer

InterviewDB
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Waymo SWE Phone - Largest Rectangle

InterviewDB
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Waymo SWE Phone - Largest Rectangle from Points

InterviewDB
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Waymo SWE Phone - Maximal Square

InterviewDB
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Maximum Matching: Find Maximum Bipartite Matching Using Augmenting Paths

InterviewDB
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Waymo SWE Phone - Maximum Rectangle Area

InterviewDB
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Maximum Subgraph: Find the Largest Connected Subgraph Satisfying a Node Constraint

InterviewDB
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Waymo SWE Phone - Merge Schedule

InterviewDB
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Waymo SWE Onsite - Minimum Cost Connecting

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Nearest Pair: Find the Closest Pair of Points in 2D Space

InterviewDB
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Waymo SWE Phone - Next Greater Node

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Waymo Interview Process Overview

The Waymo 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 Waymo runs a calibrated process consistent with industry norms for companies of its tier.

Difficulty calibration: Waymo 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 Waymo Question Reports

Real candidate-reported interview questions are a calibration tool, not a memorization target. Waymo 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 Waymo 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 Waymo'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 Waymo Interview Mistakes

Reports tagged "no hire" at Waymo 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.