CTO / Technical Co-Founder (f/m/d) role at startup METAKI

SouthwestX

Dresden · Onsite · Full Time

Posted

Job description

METAKI Dresden, Germany (TU Dresden) | On-site / Hybrid | Co-Founder / Equity | Deep Tech / AI for Engineering About Metaki Metaki is building a 'Large Engineering Model' (LEM): a graph-neural-network surrogate trained on large-scale finite element simulation (FEA) data that predicts, near-instantly, how complex 3D parts respond to different materials, loads and boundary conditions — replacing slow FEA runs. The initial focus is solid and structural mechanics, with the long-term ambition of a general foundation model for engineering physics. The opportunity Founded by Samir El Masri (Founder, ongoing PhD in FEM, 3 years of industry experience in FEM & AI/ML for engineering), Metaki already has a working FEM → data → NN pipeline, is building out a large 3D training dataset, and is running training alongside early industry discussions. What's missing is a technical co-founder to help scale the modeling and engineering work while Samir also drives funding applications and industrial pilot partnerships. Tasks What you will own Model & platform development - Co-own the neural-network surrogate modeling pipeline (FEM data → GNN training → fast inference), extending it from solid/structural mechanics towards a general engineering-physics foundation model. - Scale the large 3D simulation dataset and physics-informed training infrastructure currently in development. Technical leadership - Take technical/CTO ownership alongside Samir El Masri (Founder), covering architecture, ML engineering and data pipeline decisions. - Help turn early industry discussions into validated industrial pilots by making the model production-ready. Fundraising support - Support funding applications and strategic introductions with a credible technical narrative and roadmap. Requirements What you bring Core experience - Strong machine learning background, ideally with graph neural networks, surrogate modeling, or physics-informed ML. - Comfort working with finite element simulation data and engineering/physics domain concepts (solid or structural mechanics a plus). Especially valuable - Software/ML engineering experience taking a research pipeline to a scalable, production-ready product. - Interest in building toward a general foundation model for engineering physics. - Experience with industrial pilot partnerships or applied research collaborations. Benefits Why join Metaki - A working FE…

Apply for this job