Job ID: 2201063
Location: CHANTILLY, VA, United States
Date Posted: Apr 26, 2022
Category: Engineering and Sciences
Subcategory: Systems Engineer
Shift: Day Job
Minimum Clearance Required: TS/SCI with Poly
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work:
Benefits: Click here
Description – External
Join a winning team! SAIC’s National Security and Space (NSS) Sector is currently hiring for a customer within the Intelligence Community (IC) in Chantilly, VA. This customer is responsible for designing, building, and operating national security-related systems based in space, in the air, and on the ground. SAIC is a strong company providing opportunities for energetic individuals with a strong desire to expand their knowledge while increasing their responsibilities.
NSS Sector has an opening for a digital modeling senior systems engineer to provide Systems Engineering and Technical Assistance (SETA) services to an IC customer. The customer organization we support provides the enterprise architecting, analysis, and systems engineering solutions that determine the current and future national space systems.
Responsibilities include but are not limited to:
Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience ; PhD or JD and four (4) years or more experience.
Ability to obtain a TS/SCI clearance with polygraph
Proven experience with Systems Modeling Language (SysML) and architecture frameworks such as Unified Architecture Framework (UAF)
Proficient with MBE and MBSE tools and procedures
Proven experience with MBSE and other tools to support analysis and visualization
Working knowledge of systems engineering documentation to include concepts of operations, interface control documents, and verification and test
Ability to provide technical and programmatic direction on the development, integration, and use of model-based engineering and model-based systems engineering models
Proficient understanding of fundamental model development and its application to architecture or system design
Experience developing and using Modeling Methodologies and Ontologies
Understanding of customization of MetaModels
Understanding of modeling best practices and quality management processes
Experience developing model structure and data management principles
Experience with requirements management in a MBSE tool to include requirements traceability and verification
Proven experience in core systems engineering and analysis disciplines and processes
Demonstrated ability to work in a fast paced, dynamic, and energetic environment
Demonstrated ability to work as a team player requiring collaboration, open communication, and willingness to work in a pair-programming style collaborative work environment
Strong oral and written communication skills
Advanced degree in STEM (science, technical, engineering, math) or related discipline with emphasis on MBSE
Experience with IC customer’s Request for Change process and the Engineering Review Board process
Experience in modeling tools (Rhapsody or Cameo) and modeling frameworks (UAF, DoDAF, MODAF) and languages (SysML, UML, MOF)
Prior US military and/or IC customer experience
SAIC® is a premier Fortune 500® technology integrator driving our nation's technology transformation. Our robust portfolio of offerings across the defense, space, civilian, and intelligence markets includes secure high-end solutions in engineering, digital, artificial intelligence, and mission solutions. Using our expertise and understanding of existing and emerging technologies, we integrate the best components from our own portfolio and our partner ecosystem to deliver innovative, effective, and efficient solutions that are critical to achieving our customers' missions.
We are more than 26,500 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer, fostering a respectful work culture based on diversity, equity, and inclusion that values all contributors. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.1 billion. For more information, visit saic.com.