Dunia builds an AI-powered materials discovery platform grounded in physics simulation and experimental data. The tech stack—Python, FastAPI, React, SLURM, scikit-learn—reflects a heavy emphasis on scientific compute and model serving rather than consumer infrastructure. Hiring velocity is accelerating across research (4 roles) and engineering (2), with senior-level concentration (5 of 11 roles), suggesting a transition from founding science team toward scaled product and go-to-market operations; the addition of sales, data, and people functions signals a shift from pure R&D into commercialization.
Notable leadership hires: Head of People
Dunia Innovations, founded in 2022 and based in Berlin, develops a materials acceleration platform that combines physics-informed AI with experimental data to compress discovery timelines in energy, manufacturing, and compute materials. The company employs 11–50 people and is actively hiring across research, engineering, and commercial functions in Germany. Core infrastructure runs on Python, FastAPI, and SLURM, with React frontends for data visualization and model interaction. Current organizational focus spans three axes: scientific (model benchmarking, evaluation frameworks, production workflows for experimental output), commercial (business development workflows, sales hiring), and operational (onboarding, performance feedback, compliance with German labor law).
Python, FastAPI, Pydantic, React, TypeScript, Tailwind CSS, Streamlit, SLURM, pandas, NumPy, scikit-learn. The mix reflects scientific computing (SLURM for HPC, NumPy/pandas) and web services (FastAPI, React) for platform delivery.
Current projects include production systems for scientific workflows, model benchmarking and evaluation frameworks, data pipelines for experimental output, and internal go-to-market infrastructure (business development workflows, onboarding, performance feedback systems).
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