Aerospace Engineer Chantilly, Loudoun County, VA

Position Title: Aerospace Engineer

Position Type: Full-time (ON-SITE)

Position Location: Chantilly, VA

Clearance Required : TS/SCI w/CI Poly

Waypoint's client is seeking a highly motivated and skilled Aerospace Engineer to join their team supporting a critical government client. This position offers the opportunity to support RDT&E for cutting-edge projects supporting space-based systems.

• Develop and maintain physics-based simulation models of spacecraft systems, including structures, sensors, and mission environments.
• Perform end-to-end performance modeling for satellite missions, integrating sensor, orbital, and environmental models.
• Conduct sensor phenomenology studies, including optical, infrared, or radar modeling for detection, tracking, and signature analysis.
• Perform orbital mechanics modeling including orbit determination, orbital maneuvering, and spacecraft flight dynamics
• Use scripting languages (Python, MATLAB, or similar) to automate workflows, perform data analysis, and interface between simulation tools.

• Bachelor’s or Master’s degree in Aerospace Engineering, Mechanical Engineering, Physics, or a related field.
• 3+ years of experience in modeling and simulation for aerospace or space systems.
• Active Top Secret/SCI w/Poly Clearance
• Strong understanding of sensor phenomenology—such as optical, infrared, or radar systems—and associated modeling methods.
• Intermediate Python programming experience, demonstrated through hands‑on experience with tasks such as data manipulation, automation, and development of Python‑based solutions. Experience with libraries such as Num Py, Sci Py, pandas, and matplotlib is beneficial.
• Ability to communicate technical results clearly in both written and verbal formats.

• Master's degree in a STEM related field.
• 6+ years of related experience.
• Experience with other simulation tools and programming languages.
• Experience with non‑cooperative target tracking.
• Experience with collection & revisit modeling.
• Knowledge of cloud computing platforms (e.g., AWS, Azure).