Description
Applied Materials is hiring a full-time AI Materials Research Engineer in Santa Clara, California, to accelerate semiconductor materials discovery using scientific AI, computational materials science, machine learning, simulation, and data-driven modeling. The role develops AI/ML models for materials property prediction, screening, optimization, process-performance modeling, and generative design; applies DFT, molecular dynamics, kinetic Monte Carlo, and phase-field methods; builds surrogate models and materials informatics pipelines; and creates AI copilots and agentic workflows. Candidates need an MS or PhD in a relevant field, 2–5 years of experience in computational materials science or related areas, strong Python and machine learning skills, and experience with at least one computational materials method.
