AI Materials Design Engineer for Semiconductors

Applied Materials; Santa Clara (CA); On-site; USD 170,000 - 234,000; Full time

Benefits offered by this job

Bonus program

Stock awards

Comprehensive benefits

Job summary

Applied Materials is seeking an AI Materials Research Engineer to accelerate semiconductor materials discovery using Scientific AI, Computational MaterialsScience, and Machine Learning. The role combines materials science expertise with AI/ML, simulation, and data-driven modeling to develop next-generation materials and process innovations.

Based on related internal Materials AI role descriptions. Based on internal artifacts, you will collaborate with teams to deliver AI-driven materials

Qualifications

• MS/PhD in Materials Science, Computational Materials Science, Physics, Chemical Engineering, or related field.
• 2-5 years of experience in Computational Materials Science, Materials Informatics, Scientific ML, or AI for scientific applications.
• Strong Python programming and ML experience (PyTorch, TensorFlow, Scikit-Learn).
• Experience with one or more computational methods: DFT, MD, kMC, Phase-Field Modeling.
• Strong understanding of crystal structures, thermodynamics, kinetics, defect physics, and semiconductor materials.

Responsibilities

• Develop AI/ML models for materials property prediction and screening.
• Apply computational materials methodologies including DFT, MD, kMC, phase-field simulations.
• Build AI surrogate models to accelerate simulation-driven research.
• Create materials informatics pipelines integrating experimental data, characterization results, simulations, and literature.
• Develop AI copilots and agentic workflows for literature review, hypothesis generation, experiment planning, and simulation orchestration.
• Collaborate with materials scientists, process engineers, and AI teams to deliver Scientific AI solutions.

Skills

Python programming

ML frameworks

Materials informatics

AI for science

Scientific ML

DFT/MD/kMC

Thermodynamics

Crystal structures

Education

MS/PhD in Materials Science or related field

Tools

VASP

Quantum Espresso

CP2K

LAMMPS

GROMACS

Job description

Applied Materials is seeking an AI Materials Research Engineer to accelerate semiconductor materials discovery using Scientific AI, Computational MaterialsScience, and Machine Learning. The role combines materials science expertise with AI/ML, simulation, and data-driven modeling to develop next-generation materials and process innovations.

Based on related internal Materials AI role descriptions. Based on internal artifacts, you will collaborate with teams to deliver AI-driven materials