Waymo interview questions and how to prepare
The questions candidates report from Waymo interviews, sorted by how often they come up, with difficulty and topics, plus original practice written in Waymo's interview style.
ZorixOS tracks 25 community-reported Waymo interview questions, drawn from an open-source dataset of real interview reports and sorted by how frequently each one comes up. Every question links to its source. Alongside them are 78 original ZorixOS practice questions written in Waymo's known interview style (not claimed as asked at Waymo), so you can rehearse the real format. Practice any of them out loud in a free AI mock interview tuned to Waymo.
Updated July 2026
Waymo interview questions candidates report
Community-reported from real Waymo interviews (open-source dataset), most-asked first. Showing 25. Each links to its source.
- Max Points on a LineArrayHash TableMathGeometryHard100% asked
- Number of IslandsArrayDepth-First SearchBreadth-First SearchUnion-FindMedium100% asked
- Number of Visible People in a QueueArrayStackMonotonic StackHard100% asked
- Random Pick with WeightArrayMathBinary SearchPrefix SumMedium100% asked
- Logger Rate LimiterHash TableDesignData StreamEasy92% asked
- Minimum Number of Refueling StopsArrayDynamic ProgrammingGreedyHeap (Priority Queue)Hard92% asked
- Maximum GapArraySortingBucket SortRadix SortMedium89% asked
- Meeting Rooms IIArrayTwo PointersGreedySortingMedium77% asked
- Design Excel Sum FormulaArrayHash TableStringGraph TheoryHard71% asked
- Minimum Area RectangleArrayHash TableMathGeometryMedium71% asked
- Minimum Knight MovesBreadth-First SearchMedium71% asked
- Design Tic-Tac-ToeArrayHash TableDesignMatrixMedium68% asked
- Shortest Distance from All BuildingsArrayBreadth-First SearchMatrixHard68% asked
- Divide Array in Sets of K Consecutive NumbersArrayHash TableGreedySortingMedium61% asked
- Find Peak ElementArrayBinary SearchMedium61% asked
- Largest Rectangle in HistogramArrayStackMonotonic StackHard61% asked
- Text JustificationArrayStringSimulationHard61% asked
- Alien DictionaryArrayStringDepth-First SearchBreadth-First SearchHard58% asked
- Car FleetArrayStackSortingMonotonic StackMedium58% asked
- Maximum Earnings From TaxiArrayHash TableBinary SearchDynamic ProgrammingMedium58% asked
- Number of Islands IIArrayHash TableUnion-FindHard58% asked
- Path With Minimum EffortArrayBinary SearchDepth-First SearchBreadth-First SearchMedium58% asked
- Range Sum Query 2D - ImmutableArrayDesignMatrixPrefix SumMedium58% asked
- Regular Expression MatchingStringDynamic ProgrammingRecursionHard58% asked
- Robot Room CleanerBacktrackingInteractiveHard58% asked
Practice questions in Waymo's style
Original ZorixOS questions written the way Waymo interviews, so you rehearse the real format. Not claimed as asked at Waymo.
Imagine Waymo's fleet experiences a sudden, unexpected drop in LIDAR performance across 10% of vehicles in Phoenix during peak hour. Describe the immediate steps a Software Engineer would take to diagnose and mitigate this issue, considering the scale of operations and safety critical nature. testing: evaluating problem-solving under pressure, technical breadth, and understanding of critical systems. d: Hard
Software EngineerDebugging and Incident ResponseTests: evaluating problem-solving under pressure, technical breadth, and understanding of critical systems.Design a system to detect and alert on anomalous sensor readings (e.g., camera glare, radar interference) in real-time for a subset of the Waymo fleet. Consider data ingestion, processing, anomaly detection algorithms, and alert mechanisms. testing: assessing system design skills for distributed, real-time applications and fault tolerance. d: Hard
Software EngineerSystem DesignTests: assessing system design skills for distributed, real-time applications and fault tolerance.You are given a log of Waymo vehicle maneuvers (e.g., lane changes, turns, braking) and sensor data for a specific challenging scenario (e.g., unprotected left turn at a busy intersection). Write a Python function to identify instances where the vehicle's behavior was sub-optimal or potentially unsafe, and explain your reasoning. testing: testing coding ability, logical reasoning, and understanding of autonomous driving behavior. d: Medium
Software EngineerCoding and ReasoningTests: testing coding ability, logical reasoning, and understanding of autonomous driving behavior.Our simulation environment is generating millions of synthetic driving scenarios. How would you design a system to prioritize which scenarios are most valuable to run for validating new perception model updates, considering factors like edge case rarity and computational cost? testing: assessing system design for large-scale data processing and prioritization. d: Medium
Software EngineerSystem DesignTests: assessing system design for large-scale data processing and prioritization.A Waymo driver reports inconsistent ride quality in a specific geographic area. Walk through how you'd use available telemetry data (e.g., acceleration, jerk, speed, road surface data) and potentially other sources to pinpoint the root cause. testing: evaluating debugging skills and ability to connect sensor data to user experience. d: Medium
Software EngineerDebuggingTests: evaluating debugging skills and ability to connect sensor data to user experience.How would you design a robust data pipeline for ingesting and processing high-frequency sensor data (LIDAR, camera, radar) from thousands of Waymo vehicles, ensuring data integrity and low latency for downstream AI model training? testing: assessing system design for real-time data pipelines at scale. d: Hard
Software EngineerSystem DesignTests: assessing system design for real-time data pipelines at scale.
72+ more Waymo-style questions are in the free library, each practiceable live with adaptive follow-ups and an honest scorecard. Start free.
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