Systems Engineer Technical Analyst (SETA)

KBR•Chantilly, VA
•$140,200 - $167,000•Onsite

About The Position

The Systems Engineer Technical Analyst (SETA) provides systems engineering and analytical support to inform national security space decisions. The role integrates all-source intelligence with engineering analysis, modeling, and simulation to evaluate foreign space and counterspace capabilities and assess implications for U.S. and allied space and ground architectures. The SETA contributes to trade studies, mission thread analysis, and test and evaluation planning to reduce technical risk for government programs, coordinating with partners across the Intelligence Community, Department of Defense, and mission stakeholders to ensure analytic rigor, traceability, and alignment with threat-informed requirements and CONOPS. The position produces technical assessments and briefings supporting strategy, resourcing, and operational readiness. The role supports threat-informed mission engineering, end-to-end mission thread analysis, resiliency and deployment assessments, and modeling and simulation of system performance, coverage, and timelines. It translates intelligence into technical requirements, measures of performance and effectiveness, and architecture and program risk considerations. SETA support spans the acquisition lifecycle, including requirements analysis, architecture decomposition, integration, verification and validation, and configuration management. The position is on-site in Chantilly or Reston, Virginia, with minimal travel and standard 40-hour work weeks. Candidates joining KBR's Mission Technology Solutions business before its planned spin-off will transition to Trinzic when the separation is complete and will not need to reapply.

Requirements

  • 5–10 years of experience in space, defense, or Intelligence Community analysis or systems engineering, including exposure to space threat analysis or mission/architecture assessments in an IC/DoD environment.
  • Demonstrated experience using space mission modeling and simulation tools such as STK, AFSIM, or equivalent for analytic or engineering tasks.
  • Working understanding of space and ground architectures, including interactions among mission, ground, and user segments.
  • Bachelor’s degree in Engineering, Physics, Mathematics, Computer Science, or a related technical field from an accredited institution.
  • U.S. citizenship.
  • Active TS/SCI security clearance with CI Poly.

Nice To Haves

  • M.S. in Engineering, Physics, Applied Mathematics, Operations Research, or a related discipline.
  • Experience with MBSE (SysML/UML), digital engineering environments, or advanced modeling approaches such as Python/MATLAB toolchains and Monte Carlo methods.
  • Familiarity with Intelligence Community and Combatant Command organizations such as NRO, NSA, NGA, and USSPACECOM, and understanding of how space and counterspace intelligence informs operational planning and joint mission execution.

Responsibilities

  • Support threat-informed mission engineering, including end-to-end mission thread analysis, resiliency assessments, and deployment analysis.
  • Develop and execute modeling and simulation cases using tools such as STK, AFSIM, or custom Python/MATLAB models to characterize system performance, coverage, and timelines.
  • Translate intelligence on foreign space and counterspace systems into technical requirements, measures of performance and effectiveness, and risk considerations for architectures and programs.
  • Coordinate with customer mission centers, Service components, USSF/SSC, the Intelligence Community, and Combatant Commands to ensure analytic consistency and support decision processes.
  • Contribute to developmental and operational test and evaluation planning, including modeling for test design, data sufficiency, and evaluation criteria.
  • Produce technically grounded assessments, reports, and briefings on space threat systems and implications for mission assurance and resilience.
  • Provide SETA support across the acquisition lifecycle, including requirements analysis, architecture decomposition, integration, verification and validation, and configuration management.
  • Apply analytic standards, review methodologies, and quality assurance practices to engineering and all-source analytic products.

Benefits

  • Potential additional compensation, which may include a sign-on bonus, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance.
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