System and Mission Engineer

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The System and Mission Analysis 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 a Systems Engineer who is 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 practical application of AI, Systems of Systems, architecture modeling, modeling and analysis of complex systems, and decision support.

Roles and Responsibilities:

• Developing your keen understanding of systems and mission engineering and an awareness of sponsor needs to determine areas where MITRE can have an impact
• Evaluating and comparing alternative architectures using qualitative and quantitative techniques; exploring large tradespaces
• Articulating major uncertainties associated with systems architectures, defining risks and opportunities associated with the uncertainties
• Identifying or developing metrics to measure and analyze relevant system properties, such as robustness, resiliency, interoperability, quality, robustness, and maintainability
• Supporting requirements management, interface management and architecture change management processes
• Performing System Design and development (such as software development), systems modernization, and architecture
• Translating analysis results into actionable recommendations for the US Government agencies

Required Qualifications:

• Bachelor's Degree in Engineering, Physics, Mathematics, Systems Engineering, related field, or equivalent combination of related education and work experience
• At least 2 years of Systems Engineering experience
• Must be a U.S. citizen with ability to obtain and maintain DoD clearance
• Interest in complex multi-disciplinary problems
• Experience with programming language such as Python and R
• Experience with AI relevant fields, such as computer vision, deep learning, machine learning.

Preferred Qualifications:

• Advanced degree in related field of study
• Experience with multi-disciplinary modeling and simulation (physics-level, engineering-level and/or socio-technical-level)
• Knowledge of methods for assessing the impacts of emerging technologies on socio-technical enterprises

This requisition requires the candidate to have a minimum of the following clearance(s):

None

This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):

Secret

Work Location Type:

Hybrid

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