EOI - Computational Materials Scientist

About Atomic Tessellator

We are building a sovereign future by empowering companies and nations to achieve materials breakthroughs, enhance product performance, and secure supply-chain independence through the development of the most accessible and powerful first-principles simulation platform for engineering materials research.

Across an infinite time horizon, we will accelerate the repertoire of possible physical transformations in the universe to push humanity’s production frontier outward.

We’re a seed-stage company with a headcount of five, and have been around for a little over a year. In this time, we have:

• Built a distributed worker architecture to modularise computational materials science operations.
• Scaled machine-learned interatomic potential (MLIP) models to enable multi-GPU inference, letting us model up to 700,000 atoms
• Completed pilot projects across aerospace, defence, nuclear fusion, and advanced polymers.
• Discovered (and are in the process of patenting) two materials, one of which is a high-temperature rare earth magnet substitute.

How we operate

• We compete on speed; our bias-to-action is our competitive edge.
• We’re constantly error-correcting, and balance explore/exploits.
• We say what we think and do what we say.

About the role

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, and we're pushing to cover the full gamut of engineering materials properties - extending to applications such as neutron irradiation and magnetics, and traversing all scale lengths. Our end-game is inverse materials design.

We're always searching for exceptional people, specifically those that work at the intersection of the following:

• Materials science
• Machine learning
• Computer science

Typically our computational materials scientists roles require strong foundational knowledge in areas such as DFTs and force fields. But what's more important to us is that you can complement our momentum with a strong pace of learning.

If our mission interests you, we encourage you to apply.