What We're Building
NuMorph AI is a software-first company. Instead of designing new sensor hardware, we build ERN-AI (Evolutionary, Reconfigurable, Neuromorphic AI), a perception-native software layer that runs directly on digital CMOS cameras already installed in factories, warehouses, and robotic platforms. ERN-AI converts continuous frame-based video into sparse, event-driven data at the point of capture, cutting compute load by up to 500× without requiring any new sensors or silicon.
The architecture is built from modular AI-Lego-Blocks (ALB), micro-scale neuromorphic processing units modeled on the visual neurology of honeybees. At this stage we're a small team working close to the hardware, the math, and the customer problem at the same time — most people who join end up touching more than one layer of the stack.
Areas We're Usually Interested In
Neuromorphic & Analog-AI Engineering
ALB and NESA architecture, spiking/event-driven models, and low-power inference — designing the processing units that make ERN-AI run efficiently on constrained edge hardware.
Computer Vision
Event-driven vision, frame-to-event conversion, and low-light and motion detection — turning conventional camera streams into the sparse representations ERN-AI needs.
Embedded & Edge Software
Device-native execution on existing CMOS camera infrastructure, plus FPGA/ASIC integration for teams building toward dedicated neuromorphic hardware.
Business & Go-to-Market
Partnerships with tier 1–3 system integrators across factory automation, machine inspection, warehouse robotics, and smart manufacturing.
How to Reach Out
If your background matches one of the areas above — or you don't see an exact fit but think you could contribute to neuromorphic vision at the edge — send us a short note about yourself and what you're working on. We read every message personally and will follow up if there's a fit. We're not actively hiring for specific, named positions right now, so treat this as an open door rather than an application to a posted role.