2-10 years of relevant experience in space-related engineering analysis.
Bachelor's Degree in a STEM field (Engineering, Mathematics, Physics, Aerospace, Computer Science).
Active Top Secret/SCI w/ CI Poly Clearance required.
Proficient in programming languages and tools such as C++, Python, R, SQL, PostgreSQL, Linux, MATLAB, VBA, or STK.
Strong communication skills for presenting findings to stakeholders.
Solid understanding of orbital mechanics and space systems.
Experience with phenomenological models and validation techniques.
Responsibilities
Define modeling requirements based on user needs and system architecture.
Perform advanced modeling related to orbital mechanics and sensor phenomenology.
Develop and utilize cutting-edge modeling and simulation tools for Space Situational Awareness.
Create scripts and algorithms for data processing and modeling space conflict scenarios.
Collaborate with a team to analyze complex problems in the Space domain.
Incorporate phenomenological modeling principles into simulations.
Benefits
Opportunity to work on challenging issues for the Intelligence Community and Department of Defense.
Collaborative team environment with diverse problem-solving opportunities.
Access to cutting-edge technology and tools in the space domain.
Full Job Description
Responsibilities:
Define modeling requirements from user needs and system architecture and develop scripts to automate scenario modeling and performance analysis.
Perform advanced modeling related to orbital mechanics (orbit determination, orbital maneuvering, and spacecraft flight dynamics) and/or sensor phenomenology (optics/radar/RF)
Use and develop cutting-edge modeling and simulation tools and algorithms to help address some of the most challenging issues regarding Space Situational Awareness (SSA) for the Intelligence Community (IC) and Department of Defense (DOD)
Develop code / scripts to develop algorithms, perform analyses, and automate data processing to model space conflict scenarios for system evaluation and mission effectiveness
Work in a collaborative team environment studying and analyzing a wide variety of interesting and complex problems in the Space domain
Incorporate phenomenological modeling principles into relevant models and simulations.
Required Qualifications:
2-10 years of relevant experience.
Bachelor's Degree in a STEM related field such as Engineering, Mathematics, Physics, Aerospace, Computer Science, etc.
Active Top Secret/SCI w/ CI Poly Clearance
Experience performing space-related engineering analysis (collecting, organizing, analyzing data) using one or more of the following: C++, Python, R, SQL, PostgreSQL, Linux, MATLAB, VBA, or STK
Ability to communicate findings and recommendations to internal and external customers
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.
Preferred Qualifications:
Master's degree in a STEM related field.
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).
