Digital Systems Engineer

SAIC · Chantilly

SAIC is seeking a Digital Systems Engineer (Model-Based Systems Engineer) to support SAIC’s prime SETA program supporting the NRO Ground Enterprise Directorate (GED) in Chantilly, VA.

Note: Qualified candidates must have a current and active Top Secret/SCI with Polygraph to be considered for this role.

As the Digital Systems Engineer (Model-Based Systems Engineer) you will support the advancement of Digital Engineering and MBSE capabilities across intelligence ground systems, mission operations, and enterprise architecture initiatives. You will drive the transition from document-centric systems engineering to a scalable, model-centric digital engineering environment that improves interoperability, requirements traceability, architecture consistency, model reuse, automation, and data-driven decision-making.

The ideal candidate brings deep expertise in systems engineering, MBSE, enterprise architecture, and engineering automation, coupled with strong technical leadership and the ability to deliver innovative, mission-focused solutions across complex stakeholder environments.

Overview of Key Responsibilities

Provide enterprise leadership for Model-Based Systems Engineering (MBSE) and digital engineering transformation, establishing strategy, governance, standards, roadmaps, and best practices that align with NRO mission objectives and advance engineering maturity across the enterprise.
Lead the development, integration, and sustainment of system, system-of-systems, and enterprise architectures using MBSE, SysML, UAF, and related methodologies to support mission analysis, capability development, requirements engineering, technology evaluation, and technical decision-making.
Develop and govern a federated MBSE ecosystem, establishing reusable architecture frameworks, common data models, modeling standards, configuration management processes, and authoritative engineering data sources that promote interoperability, scalability, consistency, and enterprise-wide collaboration.
Drive model-based automation and digital engineering innovation through the application of Python, APIs, structured data exchange, AI-enabled capabilities, and integrated tool environments that improve engineering efficiency, traceability, model quality, analytics, and decision support.
Advance analytical and executable engineering capabilities by integrating MBSE with digital twins, simulation environments, operational mission-thread analysis, and other model-driven approaches that enhance mission planning, architecture assessment, risk reduction, and operational effectiveness.
Serve as a trusted technical advisor to government and contractor leadership, translating strategic objectives into actionable engineering solutions; leading technical reviews and cross-functional collaboration; mentoring engineering teams; and delivering architecture products, trade studies, technical assessments, and executive recommendations that inform enterprise modernization and mission success.

SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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