Computer Vision Engineer
Core
Architecting robust, real-time video ingestion pipelines and optimizing inference for ultra-low latency on Edge and Cloud environments to enable Vision AI in live video feeds.
Role type
Senior IC Systems-First Computer Vision Engineer
Builds
High-performance streaming pipelines for real-time video processing
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 optimization (NVIDIA Jetson)
Preferred skills
NVIDIA TensorRT, DeepStream, Triton Inference Server, Kubernetes, CI/CD, SQL/NoSQL
Technologies
GStreamer, FFmpeg, WebRTC, NVIDIA Jetson, Docker, PyTorch, TensorFlow, Kubernetes
Responsibilities
Design and implement real-time video ingestion pipelines using GStreamer/RTSP; Integrate trained models into production pipelines; Optimize data processing for low-latency inference on Edge and Cloud; Build fault-tolerant systems for camera/frame recovery; Maintain and evolve proprietary vision frameworks; Diagnose and fix system bottlenecks (CPU, GPU, Network).
