Tech Stack

Description

You will architect and lead an AI-driven molecular simulation and materials informatics platform for next-generation battery materials. This role bridges advanced AI model architectures with computational chemistry, molecular dynamics, and phase-field simulation, designing scalable scientific computing platforms and API services to power SES's materials discovery and battery R&D.

Requirements

• PhD in Materials Science, Computational Physics, or related field
• 1+ years post-graduate experience in computational materials science (MD/phase-field)
• Proven track record building production-grade scientific software in C++ in HPC context
• Hands-on experience with AI/ML for materials informatics (ML force fields, surrogate models)
• Experience designing APIs and platforms used by other engineers/scientists

Responsibilities

• Lead end-to-end design of scientific computing platform integrating AI/ML models, experimental data, and cloud infrastructure
• Architect and implement HPC/C++-based simulation services for MD and phase-field models
• Define and evolve API architecture for simulation, ML, and data services
• Drive development and deployment of AI/ML models for materials informatics (ML force fields, surrogate models)
• Build and manage MD automation systems and simulation toolchains for scaling