Verkada Interview Questions (May 2026)
12 questions · 20 experiences · InterviewDB (21) · LeetCode (8) · 1p3a (3)
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32 entries
1/2#1235 Maximum Profit in Job Scheduling
#435 Non-overlapping Intervals
Camera API: Design an OOP Camera Control API for a Multi-Camera System
Verkada SWE Phone - Camera Logs API
Verkada SWE Phone - Extract IP Addresses
Filter Alerts: Design an Alert Filtering System to Suppress Duplicate and Low-Priority Notifications
Verkada SWE Phone - Matrix Transposing
Verkada SWE Phone - Merge Sorted Arrays
Verkada SWE Onsite - Non-overlapping Intervals
Odd Intervals: Find All Integers Covered by an Odd Number of Given Intervals
Verkada SWE Phone - Shortest Path
Smoothing Filter: Implement a 1D Moving-Average Smoothing Filter on a Signal
Verkada SDE2 Technical Phone Interview Experience
Verkada Tech Phone Screen: Camera Failure Aggregation Problem
Verkada Store Front Tech Phone Screen Interview Experience
#986 Interval List Intersections
#12 Integer to Roman
#1233 Remove Sub-Folders from the Filesystem
#981 Time Based Key-Value Store
#56 Merge Intervals
#1146 Snapshot Array
Camera Intensity: Compute Pixel Intensity Statistics Across a Camera Feed
Camera States: Model a Camera State Machine with Valid Transitions and Error Handling
Cookie Collector: Find the Expected Number of Draws to Collect All Unique Coupons
Find Classes: Parse Source Files to Extract All Class Definitions and Their Hierarchies
#1235 Maximum Profit in Job Scheduling
Question Details
LeetCode #1235: Maximum Profit in Job Scheduling. Difficulty: Hard. Topics: Array, Binary Search, Dynamic Programming, Sorting. Asked at Verkada in the last 6 months.
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Verkada Interview Process Overview
The Verkada 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 Verkada runs a calibrated process consistent with industry norms for companies of its tier.
Difficulty calibration: Verkada 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 Verkada Question Reports
Real candidate-reported interview questions are a calibration tool, not a memorization target. Verkada 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 Verkada 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 Verkada'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 Verkada Interview Mistakes
Reports tagged "no hire" at Verkada 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.