Senior Computer Vision Engineer - Real-Time Video Analytics

altrocks tech pte. ltd.; Shenton Way; On-site; SGD 120,000 - 180,000; Full time

Job summary

Altrocks Tech Pte. Ltd. in Singapore seeks an experienced software engineer to architect and deploy large-scale video analytics pipelines across hundreds of feeds, using Python and C++ with DeepStream, GStreamer, or OpenCV.

You will translate model outputs into lightweight telemetry, interface with VMS/NVR systems, optimize latency, and collaborate on Kafka/RabbitMQ for streaming, Docker for deployment, and distributed queues.

Qualifications

• 5+ years of software engineering experience with 3+ years deploying large-scale video analytics or telemetry pipelines.
• Elite proficiency in Python and performance-critical C++.
• Deep expertise in PyTorch/TensorFlow, NVIDIA DeepStream SDK, GStreamer, Docker, and distributed message queues.
• Strong understanding of real-time streaming protocols and enterprise security transport configurations.

Responsibilities

• C2-Scale Analytics Pipelines: Architect robust Python/C++ pipelines using DeepStream, GStreamer, or OpenCV for hundreds of live feeds.
• Event Telemetry & Alert Generation: Translate model outputs into lightweight JSON/Protobuf payloads and stream to C2 brokers via Kafka/MQTT/gRPC.
• Multi-Camera Tracking & Fusion: Develop cross-camera Re-ID and spatial-temporal tracking across sites.
• VMS & Enterprise Integration: Build plugins/middleware for NVRs, VMS, and access control layers.
• Performance Tuning: Profile and scale inference architectures to maintain sub-second latency.
• Perimeter Security Sensors: Include tripwires and IoT occupancy sensors as part of the system.
• Hardware Integration Layers: Work with PLCs, Wiegand-to-IP, OSDP, and related hardware interfaces.

Skills

Python

C++

Video analytics

Distributed systems

Tools

NVIDIA DeepStream SDK

GStreamer

Docker

Kafka

RabbitMQ

PyTorch

TensorFlow

Job description

Altrocks Tech Pte. Ltd. in Singapore seeks an experienced software engineer to architect and deploy large-scale video analytics pipelines across hundreds of feeds, using Python and C++ with DeepStream, GStreamer, or OpenCV.

You will translate model outputs into lightweight telemetry, interface with VMS/NVR systems, optimize latency, and collaborate on Kafka/RabbitMQ for streaming, Docker for deployment, and distributed queues.