AI Engineer
Core
Develop and apply AI, machine learning, and computational materials science methods to accelerate the discovery and optimization of materials for semiconductor lithography systems.
Role type
Senior IC AI Engineer (Materials Discovery)
Builds
High-throughput computational materials discovery workflows and predictive models for new materials
Domain
Semiconductor manufacturing / Computational Materials Science
Deliverable
production ML models
Required skills
Python programming, Machine Learning, Density Functional Theory (DFT), Atomistic simulation, Materials informatics, Data analysis pipelines
Preferred skills
Machine-learned interatomic potentials, Graph neural networks, Active learning, Materials databases (ASE, pymatgen, VASP)
Technologies
PyTorch, Python, DFT, Molecular Dynamics, ASE, pymatgen, VASP, Quantum ESPRESSO, LAMMPS
Responsibilities
Develop high-throughput computational screening workflows; Apply ML methods to accelerate materials simulation; Combine AI with DFT and molecular simulation; Develop Python-based data processing and modeling workflows; Evaluate computational predictions for experimental validation; Collaborate with experimental researchers on synthesis and characterization; Establish feedback loops between computation and experiment; Assess emerging AI technologies for engineering challenges; Translate material concepts into product solutions.
Seniority
Senior, hands-on IC