Saic
Model Based Systems Engineer
Saic, Chantilly, Virginia, United States, 22021
Description
SAIC is seeking a Model-Based Systems Engineer to fill a critical position on the LANDMARK AOS program. The position will be located in Chantilly, VA. All candidates must have an active TS/SCI clearance with Polygraph.
LANDMARK AOS is a large SETA contract, supporting the customer’s Ground Enterprise Directorate (GED), responsible for the acquisition of systems over the complete end-to-end life cycle.
This position will provide specialized engineering expertise supporting the acquisition of multi-intelligence (multi-INT) software services. SAIC’s client is tasked with leading the integration of mission-focused tools to foster increased efficiency, automation, and information sharing. The qualified candidate will assist and advise Government managers responsible for the complete end-to-end life cycle of the customer's Ground Enterprise.
A successful candidate in this position will bring a record of application of systems engineering and digital engineering/MBSE methods and creative thought-leadership to mature and develop revolutionary digital engineering solutions.
Job Responsibilities:
Exercise thought leadership and practical engineering application by leveraging extensive Systems Engineering and Model Based Systems Engineering experiences to build digital models.
Use knowledge of systems engineering processes, methods, tools, SysML, and program roles to help develop, implement, and deploy Digital Engineering solutions and services.
Capture stakeholder and system requirements, facilitate discussion and understanding of digital solutions, and enhance the digital engineering culture for the customer’s System Engineering Group.
Engage with other systems engineers directly supporting programs and foster broader understanding of modeling and assist them in developing digital work products.
Participate in and contribute to technical and programmatic interchanges; identify and resolve issues; and provide engineering and technical advice to the customer to achieve innovative capabilities.
Support agile process evolution across Government teams, development contractors, user engagement teams, and stakeholders.
Apply systems analysis and design methodology assessments to identify technical debt, architectural runway, and efficiency trade-offs against current and proposed/desired cloud-based software system design.
Provide technical expertise to support the planning of future systems and architectures.
Develop briefings and documentation material, including architecture views and technical roadmaps.
You will work side-by-side with the other LANDMARK AOS staff comprised of world-class System Engineers, Acquisition Engineers, and Domain Experts to lead the customer in acquiring modern processing applications.
Qualifications
Qualifications:
Active Top-Secret Clearance with Polygraph.
Bachelor’s degree in business, engineering, science, or related discipline and nine (9) years or more experience; master’s and seven (7) years or more experience.
Intermediate/Advanced experience using enterprise modeling tools to model complex systems using SysML and UAF.
Broad systems engineering experience (e.g. system architecture and design, systems documentation, system requirements, CONOPS, systems verification).
Proven ability to work effectively and collaborate in a dynamic, fast-paced team.
Strong organizational skills and the ability to independently execute work.
Strong oral and written communications ability on significant technical matters often requiring coordination within a high tempo environment.
Good working knowledge of MS Office applications.
Desired Qualifications:
OMG Certified System Modeling Professional (OSCMP).
Experience leading SE teams through all phases of the systems engineering lifecycle using Digital Engineering (MBSE).
Experience or familiarity with Scaled Agile Framework Environment (SAFe).
Experience or familiarity with administration of Model Based Engineering tools.
Broad Model Based Engineering Applications and Technology background (i.e. tools, OSLC, internet of things, etc.).
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SAIC is seeking a Model-Based Systems Engineer to fill a critical position on the LANDMARK AOS program. The position will be located in Chantilly, VA. All candidates must have an active TS/SCI clearance with Polygraph.
LANDMARK AOS is a large SETA contract, supporting the customer’s Ground Enterprise Directorate (GED), responsible for the acquisition of systems over the complete end-to-end life cycle.
This position will provide specialized engineering expertise supporting the acquisition of multi-intelligence (multi-INT) software services. SAIC’s client is tasked with leading the integration of mission-focused tools to foster increased efficiency, automation, and information sharing. The qualified candidate will assist and advise Government managers responsible for the complete end-to-end life cycle of the customer's Ground Enterprise.
A successful candidate in this position will bring a record of application of systems engineering and digital engineering/MBSE methods and creative thought-leadership to mature and develop revolutionary digital engineering solutions.
Job Responsibilities:
Exercise thought leadership and practical engineering application by leveraging extensive Systems Engineering and Model Based Systems Engineering experiences to build digital models.
Use knowledge of systems engineering processes, methods, tools, SysML, and program roles to help develop, implement, and deploy Digital Engineering solutions and services.
Capture stakeholder and system requirements, facilitate discussion and understanding of digital solutions, and enhance the digital engineering culture for the customer’s System Engineering Group.
Engage with other systems engineers directly supporting programs and foster broader understanding of modeling and assist them in developing digital work products.
Participate in and contribute to technical and programmatic interchanges; identify and resolve issues; and provide engineering and technical advice to the customer to achieve innovative capabilities.
Support agile process evolution across Government teams, development contractors, user engagement teams, and stakeholders.
Apply systems analysis and design methodology assessments to identify technical debt, architectural runway, and efficiency trade-offs against current and proposed/desired cloud-based software system design.
Provide technical expertise to support the planning of future systems and architectures.
Develop briefings and documentation material, including architecture views and technical roadmaps.
You will work side-by-side with the other LANDMARK AOS staff comprised of world-class System Engineers, Acquisition Engineers, and Domain Experts to lead the customer in acquiring modern processing applications.
Qualifications
Qualifications:
Active Top-Secret Clearance with Polygraph.
Bachelor’s degree in business, engineering, science, or related discipline and nine (9) years or more experience; master’s and seven (7) years or more experience.
Intermediate/Advanced experience using enterprise modeling tools to model complex systems using SysML and UAF.
Broad systems engineering experience (e.g. system architecture and design, systems documentation, system requirements, CONOPS, systems verification).
Proven ability to work effectively and collaborate in a dynamic, fast-paced team.
Strong organizational skills and the ability to independently execute work.
Strong oral and written communications ability on significant technical matters often requiring coordination within a high tempo environment.
Good working knowledge of MS Office applications.
Desired Qualifications:
OMG Certified System Modeling Professional (OSCMP).
Experience leading SE teams through all phases of the systems engineering lifecycle using Digital Engineering (MBSE).
Experience or familiarity with Scaled Agile Framework Environment (SAFe).
Experience or familiarity with administration of Model Based Engineering tools.
Broad Model Based Engineering Applications and Technology background (i.e. tools, OSLC, internet of things, etc.).
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