Summary from listing
The role leads and supports AI projects that improve computer-aided engineering simulation processes. It involves preparing CAE datasets, developing deep-learning models for surrogate modelling, prediction, and optimization, integrating models into engineering workflows, automating simulation tasks with Python, packaging models for production, documenting best practices, and supporting CAE, IT, and AI/Data teams. The position requires a master’s or engineering degree in mechanics, physics, or applied mathematics, 3–5 years of automotive-industry experience, CAE/simulation and optimization expertise, Python programming, and knowledge of artificial intelligence or deep learning.
