AI Materials Research Engineer

Location: Santa Clara, California, United States

Salary: $170,000–$234,000 per year

Company

hirify.global develops materials science and engineering solutions for semiconductor chips and advanced displays.

What you will do

• Develop AI/ML models for materials property prediction, screening, optimization, process-performance modeling, and generative materials design.
• Apply computational materials methods including DFT, MD, kMC, phase-field modeling, and Monte Carlo simulations.
• Build AI surrogate models to accelerate simulation-driven research.
• Create materials informatics pipelines combining experimental data, characterization results, simulation outputs, and scientific 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 on Scientific AI solutions.

Requirements

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

Nice to have

• Experience with VASP, Quantum Espresso, CP2K, LAMMPS, GROMACS, or similar simulation platforms.
• Experience with Materials Project, OQMD, NOMAD, or similar databases.
• Familiarity with Graph Neural Networks, Materials Foundation Models, Physics-Informed ML, and generative AI for materials design.
• Experience using cloud or HPC environments for large-scale model training and simulations.

Culture & Benefits

• Supportive work culture focused on learning, development, and career growth.
• Health and wellbeing programs with comprehensive employee benefits.
• Additional compensation may include bonuses and stock awards, as applicable.
• Relocation is not available for this role.