About this role
We're building the world's fastest way to design real, functional 3D parts. Kyrall's AI-powered design agent turns ideas into ready-to-manufacture 3D models in seconds. Backed by top European VCs, we're a young, well-funded startup based in Munich — and we're just getting started.
The Role You'll work on our data team that owns the data our models learn from. That means sourcing 3D parametric data, writing parsers for CAD formats, and keeping the pipeline running so the AI team always has clean, usable training data.
What To Expect
Develop parsers that turn CAD formats into ML-compatible representations
Source, clean and structure 3D parametric datasets
Maintain and extend our data pipeline
Deliver datasets to the AI team and support their experiments
Your Profile
Studying computer science, engineering, mathematics or similar
Solid Python skills
Interest in 3D geometry, CAD or geometric data (B-Reps, meshes, point clouds)
Structured, self-driven way of working
20 hours per week, on-site in Munich
Nice To Have
Experience with CAD software or libraries
Familiarity with data pipeline tooling
Why Kyrall? We're reinventing how machines are designed and built, from the ground up. 3D modeling tools were the last major leap in this space, and the way we design parts today has hit its limit. You'll work directly with the founders and AI team on a small, fast-moving team — and see your work land in the product within weeks.