Senior Computer Vision Engineer

ALTROCKS TECH PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

ALTROCKS TECH PTE. LTD. in Singapore seeks an experienced software engineer to design and deploy large-scale video analytics and telemetry pipelines for enterprise security and smart city applications.

You will optimize end-to-end latency, integrate with VMS/NVRs, and collaborate with cross-functional teams to deliver robust, real-time data processing across hundreds of feeds.

Qualifications

• 5+ years of software engineering experience with video analytics or telemetry pipelines.
• Proficient in Python and performance-critical C++ for real-time processing.
• Deep knowledge of PyTorch/TensorFlow and NVIDIA DeepStream SDK.
• Experience with GStreamer, Docker, and distributed queues like Kafka/RabbitMQ.
• Solid understanding of RTSP/WebRTC/SRT/HLS streaming protocols.

Responsibilities

• Architect robust Python/C++ pipelines for hundreds of live camera feeds.
• Translate model outputs into lightweight, structured metadata payloads.
• Develop cross-camera tracking and integration with VMS/NVR systems.
• Write plugins and middleware to interface with enterprise security layers.
• Profile and tune end-to-end latency to sub-second targets.
• Collaborate with operations and security teams on telemetry.

Skills

Python

C++

Deep learning

GStreamer

NVIDIA DeepStream

PyTorch/TensorFlow

Kafka

RabbitMQ

Docker

RTSP/WebRTC

HLS/SRT

Tools

NVIDIA DeepStream SDK

GStreamer

Docker

Kafka

RabbitMQ

ONNX Runtime

TensorRT

Protobuf/JSON

Job description

• C2-Scale Analytics Pipelines: Architect robust Python/C++ pipelines using frameworks like NVIDIA DeepStream, GStreamer, or OpenCV to execute concurrent video analytics across hundreds of live camera feeds.


• Event Telemetry & Alert Generation: Translate computer vision model outputs (bounding boxes, track IDs) into lightweight, structured JSON/Protobuf metadata payloads. Stream these alerts instantly to C2 event brokers using Kafka, MQTT, or gRPC


• Multi-Camera Tracking & Fusion: Develop algorithms for cross-camera re-identification (Re-ID) and spatial-temporal tracking, allowing the C2 system to map a subject’s trajectory across a physical site or facility layout.


• VMS & Enterprise Integration: Write custom plugins and middleware to interface directly with enterprise-grade Video Management Systems, network video recorders (NVRs), and unified access control physical layers.


• Performance Tuning for Command Centers: Profile, benchmark, and scale inference architectures using tools like TensorRT or ONNX Runtime to maintain strict sub-second end-to-end latency boundaries from camera sensor to C2 dashboard.


• Perimeter Security Sensors: Virtual/physical tripwire sensors, laser barriers, and IoT occupancy sensors.


• Hardware Integration Layers: Dry contact relays, Wiegand-to-IP converters, OSDP (Open Supervised Device Protocol), and Programmable Logic Controllers (PLCs).

Requirements:

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


• Programming Languages: 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.