Modeling & Simulation Engineer

Waypoint Human Capital • $90K — $130K *
Chantilly, VA 20152In-Person
Aerospace & Defense
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Active TS/SCI clearance with Poly.
  • Bachelor's degree in Aerospace Engineering or related field.
  • 5+ years of experience in modeling and simulation, preferably in aerospace.
  • Strong proficiency in Python programming.
  • Familiarity with AFSIM or similar aerospace simulation tools.
  • Solid understanding of orbital mechanics and space systems.
  • Experience with phenomenological models and validation of those models.

Responsibilities

  • Define modeling requirements from user needs and system architecture; develop automation scripts.
  • Develop end-to-end phenomenology chain models, including complex EO/IR target signatures.
  • Oversee mission-level simulation to assess ISR constellation performance.
  • Conduct trade studies on future ISR constellations.
  • Assess resilience of specific ISR architecture; model impacts of space environment on payload performance.
  • Utilize Python for model development and simulation execution.
  • Leverage AFSIM for analysis and performance prediction.

Benefits

  • Cutting-edge projects in the aerospace domain.
  • Opportunity to work with a critical government client.
  • Onsite presence in Chantilly, VA for team collaboration.
Full Job Description
Position Title: Modeling & Simulation Engineer
Position Type: Full-time; Onsite
Position Location: Chantilly, VA
Clearance Required: Active TS/SCI CI Poly

Waypoint's client is seeking a highly motivated and skilled Modeling & Simulation Engineer to join their team supporting a critical government client. This position offers the opportunity to work on cutting-edge projects within the aerospace domain.

Responsibilities:
  • Define modeling requirements from user needs and system architecture and develop scripts to automate scenario modeling and performance analysis.
  • Develop models of the end-to-end phenomenology chain, including generating complex EO/IR target signatures (BRDF, thermal), modeling atmospheric radiative transfer using tools like MODTRAN, and integrating realistic cloud clutter and terrain backgrounds.
  • Oversee mission-level simulation to assess ISR constellation performance.
  • Conduct trade studies on future ISR constellations.
  • Assess the resilience of specificized ISR architecture; model the space environment's impact on payload performance, including radiation effects on focal plane arrays, and analyze the vulnerability of established PNT (Positioning, Navigation, and Timing) systems to RF interference.
  • Utilize Python for model development, data analysis, and simulation execution.
  • Leverage AFSIM (or similar aerospace simulation software) for analysis and performance prediction.
  • Incorporate phenomenological modeling principles into relevant models and simulations.

Required Qualifications:
  • Active TS/SCI clearance with Poly.
  • Bachelor's degree in Aerospace Engineering or a related field.
  • 5+ years of experience in modeling and simulation, preferably within the aerospace industry.
  • Strong proficiency in Python programming.
  • Familiarity with AFSIM or similar aerospace simulation tools.
  • Solid understanding of orbital mechanics and space systems.
  • Experience with phenomenological models, including a demonstrated ability to model relevant physical phenomena and validate those models.
  • Experience modeling solar illumination effects, thermal emissions, Bidirectional Reflectance Distribution Function (BRDF) for material identification, and temperature dynamics of a target.
  • Experience modeling Radar Cross Section (RCS) for various frequencies and polarizations, and the signatures of active RF emitters.
  • Experience with atmospheric models (like MODTRAN or LibRadtran) to simulate absorption, scattering, turbulence (seeing effects), and path radiance.
  • Experience generating realistic backgrounds, including Earth limb radiance, cloud clutter models, terrain-specific thermal and optical properties, and celestial backgrounds (stars, zodiacal light).
  • Excellent communication and teamwork skills.
Preferred Qualifications:
  • Master's degree in Aerospace Engineering or a related field.
  • Experience with other simulation tools and programming languages.
  • Experience with non-cooperative target tracking.
  • Experience with collection & revisit modeling.
  • Experience modeling the dynamics of rapid slewing and settling of the spacecraft bus and pointing systems.
  • Demonstrated experience modeling the end-to-end Synthetic Aperture Radar (SAR) chain.
  • Knowledge of cloud computing platforms (e.g., AWS, Azure).


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