Job Description
The role involves designing and leading an AI-driven molecular simulation and materials informatics platform to advance next-generation battery materials, integrating AI models with computational chemistry and high-performance computing to support battery R&D and materials discovery.
Key Responsibilities
- Design and implement a scientific computing platform for battery materials integrating AI models, experimental data, and cloud infrastructure.
- Develop high-performance simulation services for large-scale molecular dynamics, phase-field, and related models.
- Create and evolve APIs and platform interfaces for simulation, machine learning, and data services.
- Develop and deploy AI/ML models for materials informatics, including force fields and surrogate models.
- Build and manage automated MD simulation workflows with job scheduling, monitoring, and data management.
- Translate research prototypes into reliable, production-grade simulation services.
- Collaborate with scientists to align platform features with R&D needs in battery materials.
- Develop simulation capabilities focused on dendrite growth, degradation, and electrolyte performance.
- Ensure integration of simulation and AI outputs with experimental workflows and data pipelines.
Requirements
- PhD in Materials Science, Computational Physics, Computational Chemistry, or a closely related field.
- At least 1 year of post-graduate experience in computational materials science, including molecular dynamics and/or phase-field simulation.
- Proven track record building production-grade scientific software in C and/or similar systems languages, ideally in an HPC context.
- Hands-on experience with AI and machine learning for materials informatics, such as ML force fields, surrogate models, or automated ML workflows.
- Demonstrated experience designing and implementing APIs, services, and platforms used by other engineers or scientists.
- Strong background in algorithm development related to materials behavior, e.g., dendrite growth, transport, microstructure evolution.
- Experience collaborating closely with experimentalists and domain scientists and translating their needs into robust engineering solutions.
Benefits & Perks
Highly competitive salary
Robust benefits, including comprehensive health coverage
Attractive equity stock options in a NYSE-listed company
Opportunity to contribute to a meaningful scientific mission with broad public impact
A dynamic, collaborative environment at the intersection of AI, computational science, and advanced battery technology
Significant opportunities for growth through collaboration with leading experts in AI, R&D, and engineering
Ready to Apply?
Join SES and make an impact in renewable energy
Stay Updated on Sustainability Jobs
Get the latest renewable energy jobs and career tips delivered to your inbox.
Job Alerts
Get notified about new sustainability jobs