
11 - 50 employés
Fondée en 2023
🤖 Intelligence artificielle
☁️ SaaS
🤝 B2B
💰 €12 700 000 Seed Round - Infinitform Inc en 2025-05
Artificial Intelligence • SaaS • B2B
InfinitForm est une plateforme d'ingénierie générative qui utilise l'IA et des simulations avancées pour produire des conceptions manufacturables, natives de type CAO, optimisées pour les processus de fabrication traditionnels (non additifs). La plateforme s'intègre aux flux de travail existants de CAO/FAO/IAO et de fabrication, automatise la conception pour la fabricabilité et l'analyse de performance, et raccourcit les cycles de conception à production en permettant des itérations rapides et un retour d'information en temps réel. InfinitForm propose des options de déploiement sur le cloud et sur site et cible les équipes d'ingénierie mécanique, de fabrication et de conception pour accélérer le développement de produits sans remplacer l'expertise des ingénieurs.
🕒 il y a 22 jours
🗣️🇺🇸🇬🇧 Anglais requis
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11 - 50 employés
Fondée en 2023
🤖 Intelligence artificielle
☁️ SaaS
🤝 B2B
💰 €12 700 000 Seed Round - Infinitform Inc en 2025-05
Artificial Intelligence • SaaS • B2B
InfinitForm est une plateforme d'ingénierie générative qui utilise l'IA et des simulations avancées pour produire des conceptions manufacturables, natives de type CAO, optimisées pour les processus de fabrication traditionnels (non additifs). La plateforme s'intègre aux flux de travail existants de CAO/FAO/IAO et de fabrication, automatise la conception pour la fabricabilité et l'analyse de performance, et raccourcit les cycles de conception à production en permettant des itérations rapides et un retour d'information en temps réel. InfinitForm propose des options de déploiement sur le cloud et sur site et cible les équipes d'ingénierie mécanique, de fabrication et de conception pour accélérer le développement de produits sans remplacer l'expertise des ingénieurs.
• Design, implement, and optimize finite element analysis (FEA) solvers and structural simulation pipelines • Develop high-performance simulation infrastructure for large-scale engineering optimization workflows • Improve solver stability, accuracy, scalability, and runtime performance • Build production-quality numerical software in C++ for scientific and engineering computation • Contribute to GPU-accelerated simulation and optimization systems • Develop structural optimization algorithms including topology, shape, and sizing optimization • Work on sensitivity analysis, constraint handling, and optimization methodologies • Explore new approaches to simulation-aware and manufacturability-aware optimization • Contribute to research-oriented problem solving across engineering and computational geometry domains • Help bridge optimization outputs into production-ready CAD workflows • Collaborate closely with Product, Research, and Application Engineering teams • Participate in technical architecture discussions, code reviews, and solver design decisions • Document technical findings and communicate complex ideas clearly across the team • Help shape the technical direction of InfinitForm’s core engineering platform
• MS or PhD in Mechanical Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computational Mechanics, Computer Science, or a related technical field, with a focus on FEA, structural optimization, numerical methods, simulation, or scientific computing • Strong foundation in finite element analysis, solid mechanics, and numerical methods • Deep understanding of structural optimization techniques including topology optimization and sensitivity analysis • Strong C++ experience for scientific, numerical, or high-performance computing applications • Strong mathematical and problem-solving skills • Ability to work independently on complex technical systems • Collaborative mindset and ability to communicate technical ideas clearly • Curiosity and excitement for solving difficult engineering and computational problems • Nice to Have - Experience with GPU computing (CUDA, OpenCL, or similar), Familiarity with parallel computing or HPC environments, Background in computational geometry, CAD/CAE systems, or generative design, Experience with large-scale numerical optimization systems, Published research or advanced academic background in computational mechanics, simulation, or optimization, Experience working on production engineering software platforms
• Competitive compensation and meaningful equity
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