Senior AI-Driven Materials Discovery Leader

Siemens Gas and Power GmbH & Co. KG; Charlotte (NC); On-site; USD 120,000 - 180,000; Full time

Job summary

Siemens Energy is seeking a Senior Materials Expert to drive AI-driven materials discovery, leveraging AI, simulations, and data platforms to accelerate development across the value chain. You will bridge materials science with digital technologies and lead interdisciplinary teams across R&D, IT, and engineering.

The role requires a PhD or Master’s in a relevant field, 8+ years of experience, and strong expertise in computational materials science and ML-based workflows.

Qualifications

• Ph.D. or Master’s in Materials Science, Chemical Engineering, Physics, Computer Science, Engineering or related field with computational focus.
• 8+ years of experience leading research, engineering, or technology development projects in materials science, computational modeling, AI-driven innovation, or industrial R&D environments.
• Deep expertise in computational materials science, materials informatics, machine learning, data science, and simulation methods with AI techniques such as neural networks, Bayesian optimization, generative models, or graph neural networks.

Responsibilities

• Lead AI-driven materials discovery strategies by designing ML models, simulations, and digital twins to predict properties and accelerate innovation.
• Develop computational workflows including AI/ML models, multi-scale simulations, DFT, MD, FEM, and quantum computing approaches for materials development.
• Build and manage materials data ecosystems by establishing data pipelines, FAIR data standards, databases, and integrating datasets to improve decisions.

Skills

AI/ML expertise

Computational materials science

Data science

Team leadership

English proficiency

Education

PhD or Master's in Materials Science / related field

Tools

HPC environments

Molecular modeling

DFT/MD/FEA

Job description

Siemens Energy is seeking a Senior Materials Expert to drive AI-driven materials discovery, leveraging AI, simulations, and data platforms to accelerate development across the value chain. You will bridge materials science with digital technologies and lead interdisciplinary teams across R&D, IT, and engineering.

The role requires a PhD or Master’s in a relevant field, 8+ years of experience, and strong expertise in computational materials science and ML-based workflows.