Senior Computer Vision Engineer

Role Summary:

The Senior Computer Vision Engineer is responsible for designing, scaling, and deploying high-throughput vision pipelines that integrate edge video processing with centralized Command and Control (C2) systems. This role bridges the gap between raw video feeds from massive CCTV networks and enterprise situational awareness layers, converting visual data into real-time, actionable alerts. The incumbent will enable operators in integrated operations centers to make critical, time-sensitive decisions by ensuring automated visual insights are delivered with sub-second latency and high reliability.

Requirements:

• Experience: 5+ years of software engineering experience, with at least 3 years specialized in deploying large-scale video analytics or telemetry pipelines integrated with operational monitoring systems (C2, VMS, or Smart City platforms).

• Programming Proficiency: Elite proficiency in Python and performance-critical C++.

• Frameworks & Infrastructure: Deep expertise in PyTorch/TensorFlow, NVIDIA DeepStream SDK, GStreamer, Docker, and distributed message queues (Kafka/RabbitMQ).

• Networking & Protocols: Thorough understanding of real-time streaming protocols (RTSP, WebRTC, SRT, HLS) and enterprise security transport configurations.