Edge C++ Engineer: Real-Time Video & Analytics

Qareeb; On; On-site; EUR 70,000 - 100,000; Full time

Job summary

Qareeb is seeking a C++ Software Engineer to design and optimize edge-device software for real-time video and audio processing, delivering low-latency pipelines for ingestion, streaming, and analytics on Linux and Windows.

You will collaborate with AI engineers to integrate inference engines into the video pipeline, implement pipelines with FFmpeg/GStreamer/OpenCV, and ensure robust performance through testing and profiling in constrained environments.

Qualifications

• 4+ years of experience in C++14/17/20/23 development.
• Strong knowledge of STL, Boost, and modern C++ concurrency primitives.
• Hands-on experience with FFmpeg, GStreamer, and OpenCV for video/audio processing.
• Strong understanding of RTSP, RTP, HLS, WebRTC, and TCP/UDP networking.
• Experience with cross-platform development for Linux and Windows.

Responsibilities

• Design and develop high-performance C++ applications for video and audio processing.
• Implement real-time streaming pipelines using FFmpeg, GStreamer, and OpenCV.
• Work with network protocols to enable streaming and data exchange.
• Optimize software for latency, concurrency, and memory efficiency.
• Develop cross-platform applications targeting Linux and Windows.
• Debug and profile applications using Valgrind, GDB, perf, strace, and similar tools.
• Collaborate with AI engineers to integrate inference engines into the video pipeline.
• Ensure code quality through unit testing, code reviews, and documentation.
• Contribute to protocol design for communication between edge devices and servers.

Skills

C++ (C++14/17/20/23)

Modern C++ Concurrency

FFmpeg

GStreamer

OpenCV

RTSP/RTP/HLS/WebRTC

Cross-Platform Linux/Windows

Valgrind/GDB/Perf/strace

Job description

Qareeb is seeking a C++ Software Engineer to design and optimize edge-device software for real-time video and audio processing, delivering low-latency pipelines for ingestion, streaming, and analytics on Linux and Windows.

You will collaborate with AI engineers to integrate inference engines into the video pipeline, implement pipelines with FFmpeg/GStreamer/OpenCV, and ensure robust performance through testing and profiling in constrained environments.