Research Aerospace Engineer (AFRL/RQTE)

Job Overview

The Department of the Air Force is investing in the transition from legacy acquisition approaches to approaches that leverage digital engineering methodologies, processes, and tools to maintain relevance with respect to goals and objectives expressed by near-peer adversaries.  AFRL is accelerating aerospace systems integration activities by leveraging Digital Engineering and prototyping to analyze alternatives to drive aerospace systems interfaces.

The AFRL offers competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth.

The AFRL Turbine Engine Division is the world leader in the development of gas turbine engine technologies for military use.

This position is an opportunity for a highly motivated, innovative, and proactive systems engineer with modeling experience to provide contributions to the nation’s defense in a research and development environment.  This position provides challenging opportunities to expand the applicant’s systems architecture modeling and trade space analysis skills.   Areas of interest include Digital Engineering, model-based engineering, system-of-systems, architecture modeling, and analysis of data and model intensive systems applying data curation and analysis techniques.

Position duites include, but are not limited to: 

• Combining, curating, and tracking physics-based inputs from multiple Turbine Engine, Air Vehicle, and Air Vehicle Subsystem Subject Matter Experts (SMEs) to create multi-fidelity models appropriate for use in System-of-Systems and Capability level Systems Engineering models.
• Defining and articulating major uncertainties associated with developed models, defining and analyzing risks and opportunities associated with the uncertainties.
• Supporting legacy and digital requirements management, interface management, and architecture change management processes.
• Interfacing and teaming with other organizational MBSE engineers to provide optimized models to support organizational planning and decision-making.
• Developing tools and processes to streamline the development of these models.
• Supporting data and model generation, design and implementation of digital curation methodologies, and developing value-propositions for digital engineering artifacts from alternative architectures
• Work within a digital engineering ecosystem that conducts peer reviews of data and models to establish a defendable Authoritative Source of Truth for a portfolio of aerospace system concepts.

Telework

Yes, this position is eligible for telework opportunities; as determined by agency policy

Remote Work (CONUS)

No, this position is not approved for remote work.

Required Qualifications

• United States Citizenship
• Must be eligible to possess a SECRET level clearance.  Applicants selected for this position will be subject to a government security investigation and must meet all eligibility requirements for access to classified information.
• Master’s Degree in relevant technical discipline (Software Engineering, Computer Science, Computer Engineering, Applied Mathematics, or the like), or Bachelor’s Degree in such a field with at least 5 years relevant experience.  Degree’s must be from an institution accredited by ABET, or recognized by ABET through international agreement. 
• Proficiency using UML/SysML, and experience with Model-Based Engineering approaches, methods, and techniques
• Proficiency with software packages such as Cameo, Rhapsody, MagicDraw, and Enterprise Architect
• Experience with software development methods and object-oriented programming skills with Java, Python, C++, and C#.
• Data analytics/data science skills, including one or more of the following languages and/or data visualization tools: Python, R, JavaScript, SQL, and Tableau

Desired Qualifications

• Capable of obtaining and maintaining a TS/SCI and SAP DoD clearance
• Familiarity with Turbine Engine Technology, especially system level modelling and simulation.
• Familiarity with product lifecycle, trade studies, requirements, and interface definitions.
• Familiarity with full lifecycle development methodology skills including modern development processes such as Agile Development, Scrum, DevOps, and Application Lifecycle Management (ALM), and Product Lifecycle Management (PLM)
• Interest in complex multi-disciplinary problems and ability to work with colleagues across engineering domains.
• Ingenuity for applying a set of technical skills across multiple subject matter fields.
• Demonstrated ability to build and shape workflows and teams through collaborative and effective partnerships.
• Demonstrated strong oral/written communication skills.

Series

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