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The Emerging Systems Engineering Technologies Department is charged with identifying, developing and applying new technologies that can address the Government's most challenging Systems Engineering problems.
This is an opportunity for early career engineers who are highly motivated, innovative and proactive. This position provides challenging opportunities to apply and expand one's systems architecture, modeling, and tradespace analysis skills. Specific areas of interest include Model Based Engineering (MBSE, MDA, MDD, MDE), Systems of Systems, architecture modeling, analysis of complex systems, and decision support.
Developing prototypes using Java, Python and related programming languages.
Modeling architectures of complex systems using standards-based languages (ex. SysML / UML)
Evaluating and comparing alternative architectures using qualitative and quantitative techniques
Articulating major uncertainties associated with systems architectures, defining risks and opportunities associated with the uncertainties
Supporting requirements management, interface management and architecture change management processes
Translating analysis results into actionable recommendations for the US Government agencies
Must be a U.S. citizen with ability to possess and maintain a DoD clearance
Proficiency in use of Microsoft Office including Outlook, Excel, and Word
Must have demonstrated proficiency and strength in verbal, written, PC, presentation, and communications skills
Expertise in object oriented programming to include: Java (required), Python, C#, C++, and C
Embedded system experience
Familiarity with SysML and UML modeling tools
Project-based team work experience
Ingenuity for applying a set of technical skills across multiple subject matter domains such as healthcare and defense
Advanced degree in technical field of study
Knowledge of systems architecture and systems design and development. Understanding of modern SE methods.
Experience with multi-disciplinary modeling and simulation (physics-level, engineering-level and/or operational-level).
Proficiency in one or more of the programming languages for quantitative analyses (ex. MATLAB, Mathematica, R).
Knowledge of Analysis of Alternatives, Verification and Validation, Design of Experiments and data analytics.
This requisition requires the following clearance(s):
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