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.
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.