Embedded Engineer - Streaming

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.

Verkada is the leading cloud-managed physical security platform, uniting hardware, software, and AI to deliver enterprise-scale security and insights. At the core of our mission is video—powering everything from real-time monitoring to historical playback for tens of thousands of organizations worldwide.

The Streaming team owns the full-stack infrastructure powering the video experience for over 1M+.4M Verkada cameras. We take on complex streaming challenges to deliver live and recorded video with unmatched speed, reliability, and security. By continually advancing our technology, we ensure that every frame—whether live or months old—is always available instantly, seamlessly, and securely.

As an Embedded Engineer (Video Streaming), you will design and implement streaming features that power our 1M+.4M deployed cameras (and next generation cameras). You’ll collaborate with firmware, backend, and native client teams to build and own a highly performant streaming capture experience for live and history videos. At the same time, you’ll help make our firmware components more efficient, secure and future-proof.

• Design, develop, and optimize embedded video encoding and streaming pipelines for Verkada’s camera and security devices.

• Implement and tune hardware-accelerated video codecs (H.264, H.265/HEVC, AV1) for performance, quality, and low power consumption.

• Build and extend multimedia frameworks (e.g., GStreamer, FFmpeg) to support real-time video capture, processing, and delivery.

• Integrate and optimize streaming protocols (RTSP, RTP, RTMP, HLS, DASH, WebRTC) for low-latency, reliable video transport at scale.

• Profile and optimize startup time (TTFF), latency, rebuffering, and overall video QoE metrics.

• Debug issues in encoding pipelines, transport layers, and device utilization (CPU/GPU/ISP).

What You Bring

• BS or MS degree in Computer Science (or similar degree).

• 5+ years of professional experience in embedded systems development, with a focus on video streaming applications.

• Proficiency in C/C++ for embedded Linux environments.

• Must be willing and able to work onsite five days per week.

• Strong hands-on experience with video codecs (H.264, H.265/HEVC, AV1) and hardware-accelerated encoding/decoding pipelines.

• Familiarity with multimedia frameworks such as GStreamer, FFmpeg, or custom video