AI Product Engineering Scientist
(Scientific Computing Platform Architect & AI Scientist)
Our client is a rapidly advancing frontier company building a unified platform that merges high performance simulation, molecular modelling, and AI driven materials discovery. Their work sits at the crossroads of computational chemistry, physics-based simulation, and software engineering, supporting the discovery of next generation battery materials with measurable real-world impact.
They are hiring a senior AI Product Engineering Scientist to lead the design and development of their scientific computing infrastructure. This position is ideal for someone who thrives across both algorithmic science and engineered systems. You will architect end to end platforms that automate MD and phase field simulations, integrate ML force fields, and unify AI models with large scale HPC environments.
You will be responsible for building scalable APIs, developing simulation toolchains, enabling cloud and cluster integration, and ensuring scientists and engineers have a robust and performant environment for rapid iteration. The work is highly cross functional, partnering with simulation teams, ML researchers, and software engineers to turn research concepts into production ready tools that support rapid materials exploration.
Ideal Profile:
PhD in a quantitative discipline, deep experience in MD and physics-based simulation, strong HPC fluency (C and Python), and proven experience architecting scientific or ML driven platforms.
