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Embedded Engineer

A4 Staffing LLCDallas, TX🇺🇸United StatesPosted 30 Jul 2026

Quick Overview

Salary
€65/hr
Work Type
On Site
Level
Mid Senior

Job Description

About the Role
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).

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.

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.

Skills

Embedded Systems
C++

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