
Atomic Tessellator redefines velocity and scale in materials design, offering 700x faster materials simulations and access to over 5,500,000 structures from open-source materials databases. The platform provides high-performance computing with zero configuration, featuring complete infrastructure automation for GPU-accelerated workloads without system administration needs. Users can control a cluster from a single dashboard, optimize their idea flow by forking simulations, and test hypothesis permutations. It includes straightforward documentation accessible within the platform. Atomic Tessellator targets research-level capabilities with an intuitive UI and comprehensive documentation, suitable for academic researchers and enterprises seeking to integrate new materials technologies at scale or manage regulatory compliance and supply chain resilience. The business model includes Hosted Cloud, Dedicated Cloud, and On-Premise options.

Atomic Tessellator redefines velocity and scale in materials design, offering 700x faster materials simulations and access to over 5,500,000 structures from open-source materials databases. The platform provides high-performance computing with zero configuration, featuring complete infrastructure automation for GPU-accelerated workloads without system administration needs. Users can control a cluster from a single dashboard, optimize their idea flow by forking simulations, and test hypothesis permutations. It includes straightforward documentation accessible within the platform. Atomic Tessellator targets research-level capabilities with an intuitive UI and comprehensive documentation, suitable for academic researchers and enterprises seeking to integrate new materials technologies at scale or manage regulatory compliance and supply chain resilience. The business model includes Hosted Cloud, Dedicated Cloud, and On-Premise options.
Location
Remote UTC+12 Pay Range
USD 110k-150k
About Atomic Tessellator
Moore’s law and MLIPs bring materials science to an inflection point where simulations can demonstrate tangible utility. We’re a computational materials science startup that aims to offload as much of the research process to in-silico as possible. Over the last year, our global team of four has built an infrastructure layer to support rapid, high-throughput materials testing and design. We’re pushing to cover the full gamut of engineering material properties, ranging from applications in neutron irradiation, to multiscale materials, to magnetics.
We compete on speed, shipping fast is our bread and butter. Our distributed computing infra containerises common comp. mat sci operations to build workflows (e.g. supercell, sqs, relax) - this modularity lets us develop idiosyncratic capabilities on top (like neutron irradiation, MD, FEA) and chain them together with other operations we’ve already built. We use Python. For heavier work, we’ve hacked MLIPs to enable multi-GPU inference, which lets us simulate systems up to 700k atoms, and at much larger timesteps.
We’re the biggest user of our own platform, and are in the process of patenting our high temperature magnet.
About the role
You’ll be working at the intersection of our distributed worker architecture, and operationalising-in-code the laws of solid state physics to build out bespoke features and capabilities for frontier engineering customers. We focus on periodic structures/crystalline materials.
As most of our work is applied, you don’t necessarily have to be a decorated scientist - but we’re still seeking strong foundational knowledge in areas such as DFT/force field models. What’s more important to us is that you can complement our pace and momentum.
What we look for
Please send your application to:
careers@atomictessellator.com
Include "Computational Materials Scientist" in the subject line of your email.