Aerospace Surrogate Modeling Engineer

Huntsville, AL, United States

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The candidate will support development and refinement of machine learning models to predict performance of aerospace vehicles. The engineer will train machine learning models from system data and observation. The machine learning model will feature rapid inference times and be employed as a surrogate to more expensive physics-based solutions of systems for the Department of Defense (DoD), and other customers. As new capabilities are needed, the engineer will support development and refinement of the models. The engineer will join a team of multi-disciplinary engineers to provide analysis and M&S of various airborne systems and subsystems. These models will be used to support design studies and real-time applications.


The engineer will be responsible for:
• Developing surrogate modeling techniques for efficient approximations of aerospace vehicles
• Demonstrating, validating, and verifying surrogate model accuracy
• Support integration of government tools, commercial tools, and in-house surrogate modeling tools

Requirements:
• Candidate must be a US Citizen and meet eligibility to obtain/maintain a Security Clearance
• Position requires a Master's in Aerospace Engineering, Mechanical Engineer, Computer Science (or similar)
• 5+ years of experience with machine learning, response surface methods, kriging, or similar regression techniques
• Experience with transient, time-series predictive modeling
• Proficiency with the Python software languages
• Proficiency with version controlling through Git

Preferred Qualities
• PhD in Aerospace Engineering, Computer Science, Mechanical Engineer, or similar discipline.
• Knowledge of the PyTorch machine learning library
• Knowledge of formal gradient-based and gradient-free optimization techniques
• Experience with multi-disciplinary analysis and optimization (MDAO)


About CFD Research: Since its inception in 1987, CFD Research has delivered innovative technology solutions within the Aerospace & Defense, Biomedical & Life Sciences, Intelligence & Sensing, and Energy & Materials industries. CFD Research has earned multiple national awards for successful application and commercialization of innovative component/system technology prototypes, multi-physics simulation software, multi-disciplinary analyses, and expert support services. Based in Huntsville, Alabama where laboratory facilities and headquarters are located, CFD Research also has office and laboratory facilities in Dayton, Ohio, prototyping test and evaluation facilities in Hollywood, Alabama, and office facilities in Fort Walton Beach, Florida. CFD Research is an ISO9001:AS9100D registered company and is appraised at CMMI Level II for Services. CFD Research is a 100% ESOP (employee-owned company) recognized in Inc. Magazine's Inc5000 as a top growing company for four of the last five years. Learn more at www.cfd-research.com


Benefits: CFD Research offers competitive salaries and excellent employee benefits, including an employer matching 401(k) and Employee Stock Ownership Plan (ESOP). CFD Research offers a highly competitive insurance package, including medical, vision, and dental insurance. We offer company paid leave, compensation time, parental leave, long-term and short-term disability, accidental death and dismemberment, and life insurance. Performance appraisals occur twice a year and annual pay increases are based upon corporate goals, personal development, performance, and outstanding achievements. In addition, group and individual bonuses are awarded for exceptional performance.


CFD Research is an EO employer - Veterans/Disabled and other protected categories

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Computer Science Engineering Git Machine Learning ML models PhD Physics Predictive modeling Prototyping Python PyTorch Research Security

Perks/benefits: Career development Competitive pay Health care Insurance Medical leave Parental leave Salary bonus

Region: North America
Country: United States

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