The mission of this role is to drive digital transformation across engineering workflows by designing, developing, and deploying advanced computational solutions that integrate modeling & simulation, scientific machine learning, and physics-based approaches.
The Digital Transformation and AI Engineer will focus on building scalable systems that combine engineering simulations, data-driven models, and domain knowledge to enable smarter design, analysis, and decision-making. As part of this transformation roadmap, the role will contribute to the development of digital twins, along with next-generation capabilities in scientific ML, multiphysics modeling, and hybrid physics–AI systems.
This role is hands-on, implementation-focused, and ideal for someone passionate about modeling & simulation, scientific machine learning, and applied physics-driven AI. The position requires working across fluid, thermal, and structural domains, bridging engineering fundamentals with modern AI techniques.
