Computer Vision Engineer
Core
Architecting robust, real-time video ingestion pipelines and integrating trained models for low-latency inference on Edge and Cloud environments.
Role type
Systems-First Computer Vision Engineer (Production/Deployment)
Builds
High-performance streaming pipelines for live video feeds
Domain
Computer Vision, Real-time Video Streaming, Edge/Cloud Infrastructure
Deliverable
production ML models
Required skills
Video streaming protocols (RTSP, WebRTC, FastRTC), FFmpeg, GStreamer, OpenCV, Python (multi-threaded/async), Docker, GPU/CPU optimization, Hardware specification analysis
Preferred skills
None stated
Technologies
GStreamer, RTSP, FFmpeg, WebRTC, OpenCV, Python, Docker, NVIDIA Jetson
Responsibilities
Design and implement real-time video ingestion pipelines handling multiple RTSP streams; Integrate trained models into production pipelines ensuring stability and low latency; Optimize data processing pipelines for ultra-low latency on Edge and Cloud; Build fault-tolerant systems that recover gracefully from camera or frame drops; Maintain and evolve proprietary vision framework with modular Python code; Diagnose system bottlenecks in CPU, GPU, or Network and implement architectural fixes
Seniority
Mid-to-Senior, hands-on IC
