Aerodynamics Engineer, Anduril Industries

• BS or higher degree in Aerospace Engineering or Data Science
• Understanding of fluid mechanics, aerodynamics and flight dynamics
• 2+ years experience deploying ML models in an engineering related framework
• Strong programming skills in higher-level languages (Python, Matlab) in a version-controlled environment (preferably git) and comfortable with low level languages (C, C++, Fortran)
• Experience deploying ML frameworks such as TensorFlow, Keras, or PyTorch
• Familiarity with various ML models, including:
• Geometric Neural Nets
• Transformers
• XGBoost and Random Forest
• RNN
• KNN
• PCA, DBSCAN
• Experience building end-to-end data science pipelines, including data aggregation, transformation, and model deployment
• Passion for defending the United States and her allies
• Ability to obtain and hold a U.S. Top Secret security clearance

Desirable

• Aerodynamic analysis of unmanned air vehicles, using both low and high order methods
• Apply ML concepts on engineering data to accelerate aerodynamic, structural and thermal analysis
• Develop various Data Science and ML tools to improve early stage MDAO trade space efforts
• Develop automated pipelines for training ML models with CFD or FEA data
• Apply data science techniques to build robust aerodynamic databases