
11 - 50 employees
🏭 Manufacturing
🤝 B2B
Manufacturing • B2B
Imnoo ist ein Softwareunternehmen, das sich auf die digitale Transformation in der Lohnfertigung der Maschinen- und Elektronikindustrie (MEM) spezialisiert hat. Die intelligente Softwarelösung von Imnoo vereinfacht den Offertenprozess für Lohnfertiger, indem sie alle Schritte von der Anfrage bis zum finalen Angebot effizienter und digitalisiert gestaltet. Das Unternehmen hat das Ziel, Lohnfertiger und Einkäufer näher zusammenzubringen und die Vorteile des digitalen Wandels zu nutzen.
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11 - 50 employees
🏭 Manufacturing
🤝 B2B
Manufacturing • B2B
Imnoo ist ein Softwareunternehmen, das sich auf die digitale Transformation in der Lohnfertigung der Maschinen- und Elektronikindustrie (MEM) spezialisiert hat. Die intelligente Softwarelösung von Imnoo vereinfacht den Offertenprozess für Lohnfertiger, indem sie alle Schritte von der Anfrage bis zum finalen Angebot effizienter und digitalisiert gestaltet. Das Unternehmen hat das Ziel, Lohnfertiger und Einkäufer näher zusammenzubringen und die Vorteile des digitalen Wandels zu nutzen.
• Develop advanced feature-extraction and data-processing solutions for 3D CAD, 2D, and batch data feeding machine learning systems • Build, train, and industrialize deep learning models that understand geometry and drive quoting, calculation, and optimization engines • Enhance and extend 2D/3D/CAD tools and geometry solutions • Design, engineer, and own cloud services, APIs, and automated model training/deployment from proof of concept to production under real load • Work across interconnected cloud, data, computer vision, and machine learning services spanning multiple languages and platforms • Connect algorithms to factory-floor hardware and manufacturing operations • Reverse-engineer industrial protocols, build edge data pipelines, and parse complex 3D geometry • Contribute to Imnoo's SaaS platform for analyzing CNC parts, automating quoting and planning, and connecting cloud systems with manufacturers and shop-floor machines • Prototype, test, and deploy solutions end-to-end with high autonomy
• Machine learning / deep learning experience • Real development experience or serious projects building, training, and shipping models using PyTorch, PyTorch Lightning, scikit-learn, or similar • Strong mathematical understanding of linear algebra, geometry, statistics, and probability • 3+ years across dynamically and statically typed languages, such as Python plus C++/C# • Hands-on experience in game development, 3D geometry, rendering, fluid simulations, CUDA/GPU programming, or similar • Production experience building or maintaining systems running under heavy load • CAD system development experience; CNC / mechanical industry exposure • ML industrialization experience with ONNX, quantization, Docker, MLOps practices, and automated model training and deployment • Experience processing, clustering, filtering, indexing, and querying large datasets; statistical testing and outlier analysis • Cloud services such as AWS/Azure, SQL and NoSQL databases, and full-stack experience such as Angular • Video explainer of an application built yourself • Starting/minimum salary expectations must be exact and numeric • Programming/mathematical contest achievements and/or chess.com rating requested • GitHub or personal site • CV/resume and cover letter
• 25 days of holiday • Long term stability a profitable company can offer • Mix of technologies offering building up experience • Rellocation opportunities after a few years • Remote work option (remote part/full time)
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