Senior Computer Vision Engineer

Experience: 5+ Years

Key Responsibilities

• Design, develop, and optimize scalable video analytics pipelines to process multiple live camera feeds concurrently.
• Develop computer vision applications using Python, C++, OpenCV, NVIDIA DeepStream, and GStreamer.
• Implement AI/ML models for object detection, classification, tracking, and real-time video analytics.
• Develop real-time event detection and alerting mechanisms using structured JSON/Protobuf metadata.
• Integrate event streaming solutions using Kafka, MQTT, gRPC, or RabbitMQ.
• Develop multi-camera tracking and Re-Identification (Re-ID) solutions to track objects across multiple camera feeds.
• Build integrations and middleware for Video Management Systems (VMS), Network Video Recorders (NVR), and enterprise security platforms.
• Optimize AI inference performance using NVIDIA TensorRT and ONNX Runtime to achieve low-latency processing.
• Work with real-time video streaming protocols such as RTSP, WebRTC, SRT, and HLS.
• Integrate computer vision applications with IoT sensors, perimeter security systems, and access control devices.
• Troubleshoot, benchmark, and improve system performance, scalability, and reliability.

Required Skills

• 5+ years of software engineering experience, with at least 3 years of experience in computer vision, video analytics, or real-time telemetry pipeline development.
• Strong programming proficiency in Python and C++.
• Hands-on experience with OpenCV, PyTorch, and TensorFlow.
• Strong experience with NVIDIA DeepStream SDK and GStreamer.
• Knowledge of object detection, object tracking, and multi-camera Re-Identification (Re-ID) techniques.
• Experience with Docker and distributed messaging systems such as Kafka, RabbitMQ, or MQTT.
• Good understanding of real-time streaming protocols, including RTSP, WebRTC, SRT, and HLS.
• Experience with model optimization and inference acceleration using TensorRT or ONNX Runtime.
• Knowledge of VMS, NVR, C2 platforms, or enterprise security systems.
• Understanding of networking, secure communication protocols, and hardware integration.
• Exposure to IoT sensors, access control systems, OSDP, Wiegand, and PLCs will be an added advantage.