For over 10 years at Imnoo we are bridging the gap between applied artificial intelligence and heavy industrial machinery.
We aren't just riding the recent AI wave, we have been deeply rooted in machine learning and statistical analysis for 10 years, delivering real, measurable value to a stable, loyal client base of manufacturers.
Imnoo is a leading SaaS platform built to analyze CNC parts, automate quoting and planning, and seamlessly connect the cloud with real manufacturers and shop‑floor machines. We are looking for a unique hybrid—a CAD AI IoT Engineer / Tinkerer—who thrives at the intersection of software architecture and physical hardware. You won't just be writing code behind a desk; you will be the mastermind connecting our battle‑tested algorithms directly to the pulse of the factory floor. If you love reverse‑engineering industrial protocols, building edge data pipelines, and parsing complex 3D geometry to automate the business of manufacturing, this is your playground.
The Ultimate Tinkerer’s Playground: You get to work with a dynamic mix of physical machines, Raspberry Pis/Industrial PCs, and modern cloud architectures.
Drive AI in Manufacturing: Your work directly feeds the data pipelines that power our AI quoting and calculation engines, making a tangible impact on how factories operate.
High Autonomy & Impact: You will be tackling unsolved problems in a fragmented industry, with the freedom to prototype, test, and deploy creative solutions.
Shape the Industry: Play a critical role in a leading SaaS company that is actively transforming the contract manufacturing and CNC industry.
CAD/CAM & Geometry Parsing: Proven experience working with CAD/CAM environments and deep knowledge of CAD/CAM API integration to programmatically extract feature data and metadata.
Industrial IoT Connectivity: Hands‑on IoT experience, specifically focused on extracting telemetry and operational data from the shop floor.
Machine Controller Mastery: Experience connecting with and pulling data from diverse CNC controllers (e.g., Heidenhain, Fanuc, Siemens) using industrial protocols (OPC UA, MTConnect, FOCAS, etc.).
Core Programming: Strong coding experience in Python, C++, C#, Node.js, or similar languages to build scalable integrations, edge agents, and rapid prototypes.
Edge Deployment: Solid experience using Docker to containerize applications and reliably deploy them to industrial edge devices or gateways.
Ecosystem Integration: Experience connecting custom software with 3rd‑party services for manufacturing, such as ERP systems, cutting tool databases, or external APIs.
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