Characterization Engineer

Characterization Engineer - Reston, Virginia

The Leidos Intelligence Group is hiring a Mid‑Level Characterization Engineer to bridge facility design engineering and intelligence analysis.

In this role you synthesize incomplete and contradictory information from intelligence and open sources about global facilities, construction, and infrastructure. You deconflict data, develop high‑fidelity 3D/BIM models, and systematically identify structural, physical, and operational vulnerabilities using structured assessment methodologies.

• Data Synthesis and Deconfliction
  :
  Analyze fragmented data from open‑source research and intelligence reporting and build a cohesive understanding of a facility’s layout, design, and operational characteristics.
• Engineering Assessment
  :
  Conduct technical assessments of structural design, material properties, protective measures, and overall infrastructure resilience.
• Vulnerability and Risk Analysis
  :
  Evaluate modeled facilities, identify critical vulnerabilities, engineering flaws, structural weaknesses, single points of failure, and gaps in physical protective measures. Apply standard threat and vulnerability assessment frameworks to quantify exposure and potential failure modes.
• 3D Modeling and Digital Delivery
  :
  Translate assessments into accurate 3D environments and BIM models using Solid Works, Revit, or similar tools.
• Subject Matter Expertise
  :
  Provide actionable technical insights on construction techniques, structural mechanics, and material behaviors to support cross‑functional teams.
• Reporting
  :
  Document and present findings, risk profiles, vulnerability matrices, and modeled environments through technical reports, schematics, and 3D visual outputs for stakeholders.

• Active TS/SCI clearance and willingness to complete a polygraph after hire. U.S. citizenship required.
• Expert knowledge of advanced technical principles and concepts.
• Bachelor’s degree in civil engineering, structural engineering, architecture, or a closely related technical field and 8+ years of relevant experience, or a master’s degree with 6+ years of experience. Additional relevant experience may substitute for a degree.
• Professional experience in facility design, structural engineering, infrastructure analysis, or physical security engineering.
• Hands‑on experience developing 3D models and technical drawings using Solid Works, Revit, or other advanced BIM software.
• Experience identifying structural failure points, blast or kinetic vulnerabilities, or facility utility dependencies (HVAC, power, water) from incomplete data.
• Strong understanding of construction methods, material properties, and protective design measures.

• Experience conducting formal physical security, blast mitigation, or infrastructure risk analysis.
• Familiarity with Intelligence Community data, geospatial data, GIS, or open‑source intelligence gathering.
• Certifications such as Professional Engineer, Certified BIM Professional, or related technical credentials.
• Familiarity with threat and vulnerability risk assessment frameworks such as FEMA Building Vulnerability Assessment Checklist (FEMA 452/P‑452), CISA Infrastructure Survey Tool, Integrated Rapid Visual Screen, DoD Minimum Antiterrorism Standards for Buildings (UFC 4‑010‑01), General Hazard Vulnerability Analysis, or critical infrastructure risk modeling.

Competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement, and other benefits. Pay range for this level is $–$.

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos also considers qualified applicants with criminal histories consistent with relevant laws.