Embedded C/C++ Developer for Real-Time Computer Vision System

Embedded Computer Vision Engineer (C/C++ • RTSP • Edge AI)

We’re building a real-time computer vision system running directly on embedded cameras (Axis ACAP platform).

This is a systems, CV, CI/CD role, not just ML.

What you’ll do
• Build a pipeline: video → detection → tracking → counting
• Work with:
• RTSP / H.264 streams
• Embedded Linux (ARM)
• Lightweight edge inference (TFLite or similar)
• Optimize for low latency + limited CPU/memory

The goal

Accurately track and count people entering a space in real-time, fully on-device.

You should have
• Strong C or C++
• Experience with video pipelines (RTSP / FFmpeg / GStreamer)
• Computer vision (detection + tracking)
• Experience running CV on edge devices or CPU-only systems

Big plus
• Axis cameras / ACAP
• OpenCV + TFLite

Engagement
• 4–8 weeks to start (long-term possible)
• Flexible budget for the right engineer

Apply with
• Relevant project links
• Example of a performance-critical system you built

If you’ve built real-time video systems and enjoy squeezing performance out of constrained hardware, this will be a great fit.

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