Machine Learning Engineer

CFD Research's Aerospace Data Sciences group is currently leading the development of a software called Sage. Sage's primary purpose is to train fast-running, machine learning-based surrogate models which approximate physics-based processes. Within the Aerospace Data Science group, the Applied Surrogate Modeling team is looking for an engineer to support development and refinement of machine learning models to predict performance of a diverse set of systems relevant to the Department of Defense (DoD), including aerospace, ground, and naval systems. The trained machine learning models will feature rapid inference times and be employed as surrogates to more expensive physics-based solutions. As new capabilities are needed, the engineer will support software development of new and existing model architectures.
The Applied Surrogate Modeling team is a small group of multi-disciplinary engineers that focuses on the development and deployment of fast-running, data-driven surrogate models for mission-specific applications. Our team is responsible for:
1. Generating DoD system performance data using physics-based tools such as computational fluid dynamics (CFD) and finite element methods (FEM)
2. Training surrogate models to approximate these physics-based processes
3. Deploying these surrogate models into systems that require high inference rates (1+ kHz)
Primary responsibilities
• Training data-driven surrogate models that approximate a wide variety of physics-based systems using the Sage software
• Exporting and deploying surrogate models into high-throughput applications such as 6DOF simulators, hardware/software-in-the-loop systems, and optimization workflows
• Demonstrating, validating, and verifying surrogate model accuracy
• Working with other engineers to guide and inform physics-based data collection using design of experiments techniques
• Supporting development of new surrogate modeling techniques where necessary

Basic Qualifications:

• Candidate must be a U.S. Citizen and meet eligibility to obtain/maintain a SECRET Clearance
• Master's in Aerospace or Mechanical Engineering, Computer Science, or similar
• Proficiency with Python and Linux-based operating systems
• Experience working with coupled, multi-physics simulations and data including: external aerodynamics, heat transfer, structural modeling, and aerothermoelasticity
• Familiarity with machine-learning and surrogate-modeling techniques such as: artificial neural networks (ANNs), Kriging, and Gaussian process regression

Desired Qualifications:

• Ph.D. in Aerospace or Mechanical Engineering, or similar discipline
• Proficiency with compiled languages, especially C++ and Fortran
• Experience with the PyTorch machine learning library
• Knowledge of formal gradient-based and gradient-free optimization techniques
• Experience with multi-disciplinary analysis and optimization (MDAO)
• Active SECRET clearance

Location: This role is based in the Huntsville, AL area, and is 100% onsite.

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