Research Engineer I - High Speed Systems

Job Description

Job Description

ARCTOS Technology Solutions, LLC

arctos-us.com/careers/

OVERVIEW

Reach 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.

REQUIREMENT

ARCTOS 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 RESPONSIBILITIES

The 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 Modeling

Develop 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 Integration

Integrate 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 & Transition

Evaluate 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 SKILLS

• The well-qualified candidate will have expertise in many of these areas:
  • Experience with reduced-order modeling techniques
  • Experience with finite element analysis, high-performance computing
  • Knowledge of CAD, AFSIM, FEA programs, Python
• Understanding of aerothermoelastic analysis for hypersonic vehicles.
• Excellent organizational and time management abilities
• Desire to work both independently and in a team environment as the project requires
• Excellent verbal and written communication skills
• Proven track record in conducting both applied and fundamental research, evidenced by publications, patents, or successful technology demonstrations.

EDUCATIONAL, CLEARANCE AND CERTIFICATION

• Ph.D. in Mechanical Engineering, Aerospace Engineering, Materials Science, or a closely related field.
• U.S. Citizenship is required

PHYSICAL/WORKING ENVIRONMENT

• Primary work environment is a standard office setting.

TRAVEL

• Occasional travel is expected and will be performed under the guidelines of Federal Travel Regulations (FTR) and/or Joint Travel Regulations (JTR)

BENEFITS

401(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 Program

In 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!