Verkada Interview Questions — Page 3

Verkada·Software Engineer·Technical Phone Screen

Jun 2026

Verkada software engineer interview with a multi-part coding problem involving security camera data processing. The question built on itself across two parts and ended with a system design follow-up about scaling to thousands of cameras.

Given N cameras each with a list of timestamped motion readings and a threshold T, compute all time intervals where every camera is simultaneously active. A camera is active when consecutive readings above the threshold form a continuous interval.
Follow-up: what are the time and space complexities of your solution, where is the bottleneck, and how would you redesign it to handle thousands of cameras with high data volume, for example using streaming, pre-aggregation, or interval indexing?

“The per-camera part wasn't bad once I remembered to group consecutive active readings into intervals rather than treating each reading independently.”

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Verkada·Software Engineer·Technical Phone Screen

Jun 2026

Verkada coding screen for a software engineer role. One problem the whole time, linked list addition but with a twist that made me second-guess everything I thought I knew about the classic LC version.

Given two non-negative integers represented as linked lists where each node stores up to 4 decimal digits, return their sum as a linked list in the same format.

“I've done the single-digit version enough times that I jumped in fast, which was probably a mistake.”

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Verkada·Software Engineer·Technical Phone Screen

Jun 2026

Verkada software engineering interview, coding round. One question, all about implementing Wordle-style scoring with correct duplicate letter handling. Trickier than it looks.

Implement a function that scores a guess against a secret word, returning an array where each position is 2 (exact match), 1 (letter exists elsewhere but not matched yet), or 0 (letter not in word or already consumed). Handle duplicate letters correctly and validate inputs.

“The basic green/yellow/gray logic clicks fast, the part that bites you is duplicates.”

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Verkada·Frontend Engineer·Onsite - Coding / Algorithms

Jun 2026

Verkada's frontend onsite was basically a build-it-from-a-Figma exercise, about a week after the recruiter call. The component they asked me to implement looked a lot like something from their actual product, which was a bit intimidating. CSS layout knowledge was clearly the whole point of the round.

Implement a React component that matches a provided Figma design, closely replicating the company's actual product UI with accurate CSS layout.

“The Figma mockup looked like a real screen from their product, not some generic card component.”

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Verkada·Software Engineer·Onsite - System Design / Architecture

Jun 2026

Verkada system design round, one big question the whole time. The problem was designing a health monitoring system for 10 million cameras and I thought I had a decent handle on it but the follow-ups exposed some gaps pretty fast.

Design a system that monitors the health of 10 million cameras and continuously reports, in near real time, how many devices are healthy versus unhealthy. A camera is healthy if a heartbeat was received within the last 2 minutes.
How do you detect that a camera has gone unhealthy without doing a full scan of all devices? A missed heartbeat is the absence of an event, not an event itself.
How do you handle duplicate, late, or out-of-order heartbeats, especially when you may have already scheduled an expiry check that a newer heartbeat has since invalidated?
How would you extend the design to report healthy and unhealthy counts broken down by region, tenant, or firmware version without blowing up counter cardinality or making the read path complicated?
After a consumer crash and partition rebalance, how does the new owner reconstruct in-memory state, the timer schedule, and the counters without double-counting transitions during replay?
How do you tell the difference between cameras actually being unhealthy versus your monitoring pipeline being the broken thing, like consumer lag making counts look stale?

“My first instinct was to just scan all 10M rows every minute and recount.”

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Verkada·Software Engineer·Technical Phone Screen

Jun 2026

Verkada phone screen for a software engineer role. The problem was surveillance-themed which felt on-brand but the actual coding was two distinct algorithmic tasks back to back, and the follow-up complexity discussion caught me a bit flat-footed.

Given a list of timestamped sensor readings and a threshold value, find all maximal intervals during which the sensor reading exceeds the threshold. The interval ends at the last timestamp before the value drops back to or below the threshold, and if it's still above at the end, close it there.
Given alert intervals from multiple cameras, merge them into a single sorted list of non-overlapping intervals where touching intervals (e.g. [1,3] and [3,5]) are treated as overlapping and should be merged.

“I got the basic logic down pretty quick: scan through, track whether you're in an alert state, open an interval when you cross the threshold and close it when you drop back.”

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Verkada·Frontend Engineer·Technical Phone Screen

Jul 2026

Verkada frontend round with two algorithm problems, both pretty standard if you've done any leetcode prep. Nothing tricky or surprising, just classic problems with clean solutions.

Given an integer array, find the contiguous subarray with the largest sum and return that sum.
Given a set of coin denominations and a target amount, return the minimum number of coins needed to reach that amount, or -1 if it's not possible.

“Kadane's algorithm, pretty much textbook.”

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Verkada·Frontend Engineer·Technical Phone Screen

Jul 2026

Verkada's frontend round picked up right where the phone screen left off, which I didn't fully expect. You're extending a React component from a Figma spec and the scope creeps fast once filtering enters the picture. A lot of ground to cover in one session.

How would you add filtering functionality to the existing React component, including a filter sidebar or dropdown that supports multiple criteria like category, price range, and status?
Walk through how you'd handle state management for the filter feature. When would you lift state up versus use context versus a reducer?
How would you implement debounce on text filter inputs and synchronize filter state with the URL?
What would you do to keep the filtered list performant when the dataset is large?
How would you ensure the filter controls are accessible and support keyboard interaction?

“This was the meat of the whole round.”

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Verkada·Software Engineer·Onsite - Behavioral / Leadership

Jul 2026

Behavioral question from what looks like a Verkada Software Engineer interview. Just one question but it's a meaty one that requires you to actually have opinions about your past employer.

Evaluate your previous company. What did it do well and where did it fall short? Be candid about the engineering culture, your team, and what you personally took away from working there.

“This one requires more preparation than it seems.”

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Verkada·Software Engineer·Technical Phone Screen

Jul 2026

Verkada SWE interview focused entirely on cache design, both LRU and LFU variants. Two problems back to back with a pretty clear expectation that you'd nail the O(1) complexity story and be able to talk through your data structure choices out loud.

Implement an LRU cache with fixed capacity supporting get and put in O(1) average time, evicting the least recently used entry when full.
Implement an LFU cache with the same API, evicting the lowest-frequency entry on capacity overflow, with LRU as a tiebreaker among entries sharing the minimum frequency, all in O(1) average time.

“I knew this one pretty well going in.”

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