We are a dedicated team at the forefront of AI, chemistry and materials science, building new ways to engineer materials and manufacturing processes at the atomic scale. We combine machine learning, computational chemistry and multi-scale physics with experimental validation to discover new materials and optimize how they are made. Our initial focus is on the semiconductor industry, where we work across thin films, interfaces and atomic-scale processes such as ALD and ALE, while continuing to develop applications in catalysis, batteries and photovoltaics.
As an AI-driven deep tech company backed by significant funding ($10M), we build on state-of-the-art research to solve real industrial challenges. Our ambition is to connect materials discovery, process optimization and device performance in a single integrated platform, working closely with leading industrial and research partners. In the long term, we believe better materials and more efficient manufacturing processes can play a significant role in reducing the energy and environmental footprint of some of the world’s most critical industries.
Join Entalpic to be part of a growing multidisciplinary team of machine learning researchers, computational scientists, chemists and experimentalists. You will work at the intersection of fundamental science and industrial innovation, with the opportunity to shape both our technology and how some of the world’s most advanced materials and devices are developed. We value scientific rigor, clear communication and simplicity, with a constant drive to learn, iterate and improve.
Co-founders: Mathieu Galtier, Victor Schmidt, Alexandre Duval
Entalpic is dedicated to equal opportunity employment and fosters an environment that is open and respectful of diversity. All applicants are encouraged to apply even if you don’t meet all this job description’s requirements. If you have passion for our mission and believe you can contribute, we want to hear from you.
You will report to the Experimental Data Team Lead of Entalpic and will be located in our Paris offices.
We are looking for a Scientific Software Engineer with a strong background in chemistry and/or materials science to build the scientific data platform powering Entalpic's AI-driven materials and molecules discovery platform.
This is a software engineering role where scientific expertise is essential. You will work at the intersection of chemistry, scientific data, and AI, turning scientific literature, patents and experimental lab data into high-quality structured datasets.
Your initial focus will cover two closely related areas:
Your mission will be to define how scientific information should be represented, build AI-powered extraction and processing pipelines, curate and annotate high-quality scientific data, and develop tools for chemical identity resolution and data quality. Your goal will be to enable the Computational Chemistry and ML teams with large high-quality data sets.
We are a no-nonsense startup, where we favor a sustainable culture promoting work-life balance and good compensation over foosball tables and free food. We offer:
At Breega, we back world-class founders for the future. We’re not simple investors - we’re entrepreneurs who’ve built, scaled, and learned what it really takes to grow.
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We partner with outliers rewriting the rules of Digital, Climate, and Deep Tech from pre-Seed to Series A+ across Europe and Africa.
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