Senior Computer Vision Engineer — Real-Time CCTV Analytics

CLPS Global; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

CLPS Global seeks a Senior Computer Vision Engineer to design scalable video analytics pipelines for hundreds of live CCTV feeds. You will implement real-time telemetry, cross-system integration and multi-camera tracking across enterprise security platforms.

You will work with NVIDIA DeepStream, OpenCV and modern ML frameworks, optimizing latency and throughput while ensuring robust data pipelines for C2, VMS and smart city monitoring.

Qualifications

• >5+ years in software engineering.
• 3+ years in large-scale video analytics or real-time telemetry.
• >Experience integrating video analytics with C2, VMS, Smart City or security monitoring platforms.

Responsibilities

• Design and develop scalable Python/C++ video analytics pipelines for hundreds of live camera feeds.
• Build solutions using NVIDIA DeepStream, GStreamer, OpenCV, PyTorch/TensorFlow and related CV frameworks.
• Convert outputs such as bounding boxes, object IDs and tracking into JSON/Protobuf telemetry.
• Integrate real-time alerts with Kafka, MQTT, RabbitMQ, gRPC or similar brokers.
• Develop multi-camera tracking and Re-ID capabilities.
• Implement spatial-temporal tracking across cameras and locations.
• Develop middleware/plugins for VMS, NVRs and enterprise security system integration.
• Optimize inference pipelines with TensorRT and GPU acceleration.
• Profile and benchmark to maintain sub-second end-to-end latency.

Skills

Large-scale video analytics

Real-time telemetry

Python

C++

Edge video processing

Multi-camera tracking

Re-ID

NVIDIA DeepStream

OpenCV

PyTorch/TensorFlow

TensorRT

ONNX Runtime

Kafka

MQTT

gRPC

JSON/Protobuf telemetry

VMS integration

Latency optimization

Tools

GStreamer

OpenCV

NVIDIA DeepStream

PyTorch

TensorFlow

Kafka

MQTT

gRPC

ONNX Runtime

TensorRT

WebRTC

RTSP

Job description

CLPS Global seeks a Senior Computer Vision Engineer to design scalable video analytics pipelines for hundreds of live CCTV feeds. You will implement real-time telemetry, cross-system integration and multi-camera tracking across enterprise security platforms.

You will work with NVIDIA DeepStream, OpenCV and modern ML frameworks, optimizing latency and throughput while ensuring robust data pipelines for C2, VMS and smart city monitoring.