Foundation EGI
Artificial Intelligence • SaaS • Enterprise
Foundation EGI is an AI-driven platform that automates the generation of engineering documentation from 3D CAD data. The company converts assemblies into 2D/3D parts catalogs, GD&T technical drawings, optimized assembly sequences, and multilingual operator/service manuals, aiming to reduce manual drafting and speed product development for manufacturing and engineering teams. Foundation EGI positions itself as an enterprise SaaS solution that brings machine learning and computational design into industrial workflows to improve accuracy, traceability, and time-to-production.
Research Engineer – Machine Learning, Geometric Processing
Job not on LinkedIn
4 hours ago
Foundation EGI
Artificial Intelligence • SaaS • Enterprise
Foundation EGI is an AI-driven platform that automates the generation of engineering documentation from 3D CAD data. The company converts assemblies into 2D/3D parts catalogs, GD&T technical drawings, optimized assembly sequences, and multilingual operator/service manuals, aiming to reduce manual drafting and speed product development for manufacturing and engineering teams. Foundation EGI positions itself as an enterprise SaaS solution that brings machine learning and computational design into industrial workflows to improve accuracy, traceability, and time-to-production.
📋 Description
• Design, develop, and maintain geometry processing and simulation algorithms for engineering applications. • Build services for reading, processing, and writing 2D/3D engineering data. • Develop rendering modules for generating 2D/3D visual assets. • Curate and manage large-scale datasets for learning-based systems. • Implement and optimize post-training workflows for machine learning models. • Contribute to the development of domain-specific languages for engineering tasks.
🎯 Requirements
• 5+ years of academic or industry experience in one or more of the following areas: Geometric Processing, Simulation, Optimization, Machine Learning, or Domain-Specific Languages. • BSc or MSc in Computer Science, Engineering, or a related field. • Proficient in writing clean, modular, and maintainable Python code. • Experience with dataset creation and data pipeline development.
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