Machine Learning / Computer Graphics Engineer (remote part/full time) - Junior/Mid/Senior

OpenKrill; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

Imnoo is seeking a CAD AI IoT Engineer / Tinkerer to bridge software architecture with factory-floor hardware. You will develop deep learning models, extend 3D geometry tools, and deploy scalable cloud services that connect to CNC machines.

You will work across cloud, data, and ML systems, with a focus on end-to-end production readiness and real-world industrial impact on manufacturing processes.

Qualifications

• Machine learning / deep learning experience with model development and deployment.
• Strong mathematical background: linear algebra, geometry, statistics, probability.
• 3+ years in software engineering with Python and C++/C#.
• Hands-on experience in computer graphics and 3D geometry.
• Production systems experience under heavy load.

Responsibilities

• Develop feature-extraction and data-processing solutions for 3D CAD and batch data.
• Build, train, and industrialize DL models for quoting, calculation, and optimization engines.
• Enhance 2D/3D/CAD tools and geometry solutions.
• Design, engineer, and own cloud services, APIs, and automated training/deployment.
• Work across cloud, data, computer vision, and ML services across languages.

Skills

ML/DL development

Linear algebra

Geometry

Statistics

Python

C++

3D graphics

Production experience

Tools

CUDA

Docker

AWS

Azure

GPU programming

Angular

Job description

Geometry with consequences. Deep learning on 3D CAD data where correctness translates into steel and aluminum, not pixels.The ultimate tinkerer's playground. Physical machines, shop floors, and modern cloud architectures all in one stack.Tangible impact. Your work feeds the data pipelines that power our AI quoting and calculation engines. Factories operate differently because of what you ship.High autonomy. A fragmented industry full of unsolved problems, and the freedom to prototype, test, and deploy your own solutions end-to-end.

What you'll do:

• - Develop advanced feature-extraction and data-processing solutions for 3D CAD, 2D, and batch data feeding our machine learning systems.
• - Build, train, and industrialize deep learning models that understand geometry and drive our quoting, calculation, and optimization engines.
• - Enhance and extend our 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.
• - Go deep across interconnected cloud, data, computer vision, and ML services spanning multiple languages and platforms.

For over 10 years at Imnoo at Imnoo, we are bridging the gap between applied artificial intelligence and heavy industrial machinery.Imnoo is sustainability focused, creating real value as well as a profitable company with stable base.

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.

• - Machine learning / deep learning experience. Real development experience or serious projects: building, training, and shipping models (PyTorch, PyTorch Lightning, scikit-learn or similar), not just coursework or library calls.
• - Strong mathematical understanding. Linear algebra, geometry, statistics, probability. Our problems are mathematical at their core; this is a real requirement, not a nice-to-have.
• - Strong software engineering. 3+ years across dynamically and statically typed languages (e.g. Python plus C++/C#), with sharp problem-solving skills.
• - Computer Graphics / Game development / 3D foundations. Hands-on experience in game development, 3D geometry, rendering, fluid simulations, CUDA/GPU programming, or similar. This is a headline requirement, not a bonus.
• - Production experience. You've built or maintained systems running under heavy load.

Nice to have

• - CAD system development experience; CNC / mechanical industry exposure.
• - ML industrialization: ONNX, quantization, Docker, MLOps practices, automated model training and deployment.
• - Large-dataset work: processing, clustering, filtering, indexing, and querying; statistical testing and outlier analysis.
• - Cloud services (AWS/Azure), SQL and NoSQL databases, full-stack experience (e.g. Angular).