• Perform exploratory data analysis and feature engineering on vast quantities of data. • Train models and build agents using the latest machine learning frameworks. • Integrate research outcomes into the product portfolio by working closely with the engineering team. • Present your work to broad audiences ranging from academic circles to industry stakeholders. • Enable cutting-edge technologies effectively as a key contributor to our multidisciplinary R&D environment.

• Lead high-impact client engagements focused on the discovery of novel catalyst materials, bridging the gap between proprietary simulations and industrial needs • Deploy multiscale computational workflows to simulate reactivity and dynamics across atomic, mesoscale, and continuum scales • Support commercial growth by providing technical diligence and proposal development for pre-sales customer engagements • Prepare high-impact reports and presentations for internal and external stakeholders, maintaining a presence in the academic and industry community through publications • Provide guidance and mentorship to junior scientists and interns in catalysis and reaction engineering, ensuring the highest standards of research

• Own the technical vision and "north star" architecture for the AI-driven alloy platform. • Drive end-to-end delivery for multiple U.S. Government programs, managing the full lifecycle from discovery and down-selection through to validation and manufacturing transition. • Serve as the primary technical interface for senior government, lab, and defense partners. • Orchestrate and influence multidisciplinary teams—spanning materials science, AI research, software engineering, and security—to translate mission objectives into executable technical plans that ensure long-term platform scalability and reuse. • Contribute to the long-term strategy for alloy initiatives across defense and adjacent sectors.

• Lead and execute advanced research initiatives in AI-driven security • Formulate novel research questions and design experiments • Develop and validate AI algorithms for security applications • Collaborate across disciplines to advance autonomous security systems • Contribute to the technical vision and publish in top conferences/journals