Full-Time Aerodynamic AI Engineer

• Develop and deploy AI models for analysis of CFD simulation data.
• Build advanced surrogate models for aerodynamic predictions.
• Develop AI-driven mesh generation algorithms and automated geometry creation tools.
• Conduct comprehensive analysis of wind tunnel data.
• Build and maintain robust CI/CD pipelines for AI model deployment.
• Collaborate with aerodynamicists and CFD engineers to translate engineering requirements into AI solutions.
• Stay current with emerging AI technologies.
• Ensure understanding of cost cap requirements.

• Master's or PhD in Engineering, Physics, Computer Science, Mathematics, or related scientific discipline (or equivalent experience).
• Proven experience in developing and deploying AI/machine learning models, particularly for scientific or engineering applications.
• Strong proficiency in Python with PyTorch framework - experience with NVIDIA PhysicsNemo is advantageous.
• Understanding of computational geometry principles and familiarity with mesh generation algorithms.
• Experience with statistical analysis and anomaly detection techniques for large scientific datasets.
• Strong software engineering practices including CI/CD pipeline development and code quality maintenance.
• Knowledge of fluid dynamics concepts and CFD data analysis is advantageous but not essential.
• Excellent communication skills.
• Demonstrated ability to manage multiple projects.
• Experience in motorsport, Formula 1, or aerospace aerodynamics is beneficial.

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