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Senior Backend Engineer - Search

Verkada
San Mateo, CA United States
May 18, 2026
Salary not listed

Job Description

Who We Are

Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management.

We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation, more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it.

You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries.

About the Role

We build the search and computer vision backend that powers Verkada's camera intelligence. Our systems let customers find what they need across billions of frames in seconds, from person search and reverse image search to natural language search powered by modern LLMs and VLMs. We own both the customer-facing products and the underlying infrastructure that makes them possible. If you've ever wondered what it takes to make real-time physical security search feel instant across tens of thousands of camera deployments, that's us.

We take engineering rigor seriously. Our systems run at a scale that few engineers get to work at, and we're pushing into genuinely new territory with agentic, multi-modal search experiences powered by modern LLMs and VLMs. You'll work closely with ML, infrastructure, and frontend engineers to take ideas from research to products that customers use every day.

Who You Are

  • Excited by modern search infrastructure: vector databases, embedding-based retrieval, and what it takes to make semantic search fast at scale
  • Excited by modern search infrastructure — vector databases, embedding-based retrieval, and what it takes to make semantic search fast at scale
  • You think about building robust, scalable infrastructure, not just shipping endpoints
  • You can take an ambiguous problem and drive it end-to-end, from architecture to production
  • BS or graduate degree in Computer Science, Engineering, or a related field

What You Bring

  • 5+ years of backend eng

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