Computer Vision Engineer
Core
Architecting robust, real-time video ingestion pipelines and integrating vision models for low-latency inference on Edge and Cloud.
Role type
Senior IC Computer Vision Engineer (Systems/Deployment)
Builds
High-performance streaming pipelines for live video feeds
Domain
Computer Vision, Real-time Systems, Edge Computing
Deliverable
production ML models
Required skills
Video streaming protocols (RTSP, WebRTC, FastRTC), GStreamer, FFmpeg, OpenCV, Python (multi-threaded/async), Docker, GPU optimization, Fault tolerance
Preferred skills
NVIDIA TensorRT, DeepStream, Triton Inference Server, Kubernetes, CI/CD, SQL/NoSQL
Technologies
GStreamer, FFmpeg, WebRTC, NVIDIA Jetson, Docker, PyTorch, TensorFlow
Responsibilities
Design and implement real-time video ingestion pipelines; Integrate trained models into production pipelines; Optimize data processing for ultra-low latency; Build crash-proof systems with automatic recovery; Maintain and evolve proprietary vision frameworks; Diagnose system bottlenecks and implement architectural fixes.
Seniority
Senior, hands-on IC
