defining the future of Industrial AI. Founded by industry experts and powered by a strategic partnership with
NVIDIA
, we turn complex operational challenges into intelligent competitive advantages for our Fortune 500 clients.
Through
KoiVision®
—our patented Digital Operations Platform and AI Operating Model—we are setting the global standard for how Generative AI and Computer Vision automate supply chain and logistics.
We are looking for a
Systems-First Computer Vision Engineer
who specializes in the "Last Mile" of AI: taking a model and making it run continuously, reliably, and instantly on live video feeds. This role is
not
about training models in a notebook; it is about building the high-performance highways (Pipelines) that allow Vision AI to run in the real world. You will architect robust streaming architectures using GStreamer/RTSP and optimize inference for ultra-low latency on Edge and Cloud environments.
Key Responsibilities:
1. Architect Streaming Pipelines:
Design and implement robust,
real-time video ingestion pipelines handling multiple RTSP streams using tools like
GStreamer, FFmpeg, and WebRTC
.
2. Inference Integration:
Take trained models from the ML team and integrate them into production pipelines. Your goal is to ensure the model runs stable, quick, and without memory leaks.
3. Latency Optimization:
Obsess over milliseconds. Optimize data processing pipelines to ensure low-latency inference on both Edge devices (NVIDIA Jetson) and Cloud servers.
4. Fault Tolerance:
Build "Crash-Proof" systems. Ensure that if a camera goes offline or a frame is dropped, the system recovers gracefully without manual intervention.
5. Framework Evolution:
Maintain and evolve our proprietary vision framework by writing modular, reusable, and efficient Python code/libraries.
6. Performance Engineering:
Diagnose bottlenecks in the system—whether it's CPU, GPU, or Network—and implement archite