Full-stack Engineer

• Architect and lead AI-driven molecular simulation and materials informatics platform for next-generation battery materials.
• Bridge advanced AI model architectures with computational chemistry, molecular dynamics (MD), and phase-field simulation.
• Support the productization of AI4Science capabilities—from ML force fields and surrogate models to automated MD workflows.
• Lead the end-to-end design of a scientific computing platform for battery materials, integrating AI/ML models, experimental data, and cloud infrastructure.
• Architect and implement high-performance computing (HPC) and C++-based simulation services for large-scale MD, phase-field, and related materials models.
• Drive development and deployment of AI/ML models for materials informatics, including ML force fields, surrogate models, and uncertainty-aware prediction pipelines.
• Work closely with battery scientists, electrochemists, and experimentalists to map R&D needs into platform features and workflows.

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