Key Responsibilities
Support threat‑informed mission engineering activities, including end‑to‑end mission thread analysis, resiliency assessments, and deployment analysis.
Develop and execute modeling and simulation (M&S) 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/effectiveness (MOP/MOE), and risk considerations for architectures and programs.
Coordinate with stakeholders across customer mission centers, Service components, USSF/SSC, the IC, and Combatant Commands to ensure analytic consistency and support decision processes.
Contribute to test and evaluation planning (developmental and operational), including modeling for test design, data sufficiency, and evaluation criteria.
Produce clear, technically grounded assessments, reports, and briefings on space threat systems and their implications for mission assurance and resilience.
Provide SETA support across the acquisition lifecycle, including requirements analysis, architecture decomposition, integration, verification/validation, and configuration management.
Apply analytic standards, review methodologies, and quality assurance practices to engineering and all‑source analytic products.
Work Environment
Location: Chantilly, Va and Reston, VA [On-site]
Travel Requirements: Minimal
Working Hours: Standard 40 hours per week
Required Qualifications
Experience: 5–10 years in space, defense, or IC analysis or systems engineering, including exposure to space threat analysis or mission/architecture assessments within the IC/DoD environment.
Modeling & Simulation: Demonstrated experience using space mission M&S tools (e.g., STK, AFSIM, or equivalent) to support analytic or engineering tasks.
Architecture Knowledge: Working understanding of space and ground architectures, including interactions among mission, ground, and user segments.
Education: Bachelor’s degree in Engineering, Physics, Mathematics, Computer Science, or a related technical field from an accredited institution.
Clearance an active TS/SCI security clearance with Poly.
Preferred Qualifications
Advanced Degree: M.S. in Engineering, Physics, Applied Mathematics, Operations Research, or a related discipline.
Advanced Methods/Tools: Experience with MBSE (SysML/UML), digital engineering environments, or advanced modeling approaches (e.g., Python/MATLAB toolchains, Monte Carlo methods).
Mission/Enterprise Awareness: Familiarity with Intelligence Community and Combatant Command organizations (e.g., NRO, NSA, NGA, USSPACECOM), and understanding of how space and counterspace intelligence informs operational planning and joint mission execution.
Basic Compensation
$156,200 to $187,000
The offered rate will be based on the selected candidate’s knowledge, skills, abilities, and/or experience and in consideration of internal parity.
Additional Compensation
KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels per internal policy or contractual designation. Additional compensation may be in the form of a sign-on bonus, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance
Belong, Connect and Grow at KBR
At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team’s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver – Together.
KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.
