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. Apply tot his job Apply To this Job