Research Engineer I - High Speed Systems

Job Description ARCTOS Technology Solutions, LLCarctos-us.com/careers/OVERVIEWReach New Heights!ARCTOS Technology Solutions, LLC (ARCTOS) is a fast-growing, technology-oriented small business providing aerospace, defense, and digital solutions, with offices and work sites across the United States. We're looking for team-oriented innovators eager to tackle interesting challenges, work on important problems, and receive great benefits and employee support.REQUIREMENTARCTOS is seeking a highly skilled and motivated Research Engineer to join our team supporting AFRL's High Speed Vehicles Division. This role is focused on supporting the development of reusable hypersonic vehicle technologies specifically through advancing data-driven surrogate modeling capabilities to efficiently predict distributed and integrated aerodynamic loads as a function of vehicle deformation. The position involves developing reduced-order models, integrating multi-fidelity computational and experimental datasets, and applying hybrid physics/machine learning approaches to capture nonlinear and unsteady aerodynamic behavior. The successful candidate will combine expertise in aerothermoelastic modeling, machine learning, and reduced-order modeling to enable rapid, high-fidelity analysis for aeroelastic and aerothermodynamic applications.PRIMARY RESPONSIBILITIESThe Research Engineer will work with Government customers, other ARCTOS personnel, and other Government organizations and contractors in the performance of the following duties:Surrogate Model Development & Reduced-Order ModelingDevelop and implement surrogate models, emphasizing interpolation-based approaches (IROMs) such as neural networks. Investigate methods including residual networks, recurrent models, and neural operators to capture nonlinear and unsteady aerodynamics. Support CFD data generation and evaluate model performance across flight conditions and structural deformations.Data Fusion & Multi-Fidelity IntegrationIntegrate high- and low-fidelity computational data with experimental datasets into a unified framework. Apply hybrid physics/machine learning approaches, including residual learning and layered surrogates, to balance accuracy and efficiency and improve generalization across geometries and operating regimes.Model Assessment, Application & TransitionEvaluate model accuracy and efficiency across vehicle configurations and trajectories in coordination with AFRL. Synthesize trends in aerodynamic performance versus deformation and support transition of models into operational environments, including validation, documentation, and participation in technical reviews.KNOWLEDGE AND SKILLSThe well-qualified candidate will have expertise in many of these areas: Experience with reduced-order modeling techniquesExperience with finite element analysis, high-performance computingKnowledge of CAD, AFSIM, FEA programs, PythonUnderstanding of aerothermoelastic analysis for hypersonic vehicles.Excellent organizational and time management abilitiesDesire to work both independently and in a team environment as the project requiresExcellent verbal and written communication skillsProven track record in conducting both applied and fundamental research, evidenced by publications, patents, or successful technology demonstrations.EDUCATIONAL, CLEARANCE AND CERTIFICATIONPh.D. in Mechanical Engineering, Aerospace Engineering, Materials Science, or a closely related field.U.S. Citizenship is requiredPHYSICAL/WORKING ENVIRONMENTPrimary work environment is a standard office setting.TRAVELOccasional travel is expected and will be performed under the guidelines of Federal Travel Regulations (FTR) and/or Joint Travel Regulations (JTR)BENEFITS401(k) Retirement Plan with Company Matching; Health Insurance & HSA; Dental & Vision Insurance; Company Paid Life Insurance, AD&D and Short-Term Disability; Paid Time Off, Volunteer Time Off; Employee Assistance ProgramIn compliance with pay transparency requirements, the salary range is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location.ARCTOS and its subsidiaries are an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. We look forward to reviewing your application!