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# Embedded Engineer - Streaming

- **Company:** Verkada Inc.
- **Location:** San Mateo, CA, United States
- **Experience:** Expert
- **Salary:** $130,000.0 - $280,000.0
- **Contract:** Permanent contract
- **Skills:** Encodings, Software Debugging, Linux on Embedded Systems, FFmpeg, Firmware, H.264/MPEG-4 AVC, Data Streaming, Video Capture, Video Codec, Video Encoding, WebRTC, High Efficiency Video Coding (HEVC), Backend, RTSP, Information Technology, Low Latency, Video Streaming
- **Published:** July 30, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17756575?backUrl=%2Fcareer%2F17756575%2FEmbedded-Engineer-Streaming-California-San-Mateo

## About the Role

* 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.

Nice to Have

 * 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 pipelines.
 * Solid understanding of video streaming protocols (RTSP, RTP, RTMP, HLS, DASH, WebRTC) and adaptive bitrate streaming.
 * Experience optimizing for low latency and startup time (TTFF) under constrained resources.

## Description

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.

What You'll Do

 * 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).


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