CTO Technical Co-Founder (fmd) role at startup METAKI

**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. Whats missing is a technical co-founder to help scale the modeling and engineering work while Samir also drives funding applications and industrial pilot partnerships.

**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.

**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.

**Why join Metaki
**- A working FEM data NN pipeline already built not just an idea real technical traction to build on.
- Early industry discussions already underway with funding applications and pilot partnerships actively being pursued.
- Ground-floor technical co-founder equity in a company aiming to become a foundational-model platform for engineering physics.

Metaki welcomes co-founder candidates regardless of gender age ethnic origin religion or belief disability sexual identity or any other characteristic. This is a search for the right partner to build the company with not a conventional hire.