While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia.
Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering.
We are working on some of the hardest and most important challenges including energy, clean water, the future of compute, and carbon capture, and this is just the start of what our 'search engine' for next-generation materials will unlock.
We invite you to be part of a diverse, innovative team at the intersection of AI and materials science, working to create impactful partnerships that drive innovation, scalability, and industry collaboration.
This work matters.
Your work matters.
We’re on the cusp of the on-demand materials era.
The RoleWe are seeking a Data Engineer with strong software engineering fundamentals to own, design, develop, test, secure, and deploy data-rich tools, services, and web applications.
In this role, you will build the foundational data systems and platforms that enable our materials scientists, machine learning engineers, and partners to collaborate on diverse datasets at scale.
Your ImpactAs a key member of our engineering team, you will bridge the gap between complex materials science data and real-world application.
You will empower researchers and machine learning models with clean, structured, and accessible data, directly accelerating our ability to discover and design breakthrough materials.
What You Will DoOwn the full software lifecycle of data-rich tools, services, and web applications from design through to deployment and security.
Build scalable data ingestion, processing, and cleaning pipelines to handle both structured and complex unstructured data.