MTSI is seeking a
Modeling and Simulation (M&S) Engineer to provide expertise for multi-domain defense simulation development and testing. The person in this position will utilize their M&S experience developing and using system, subsystem, and component models for aerospace applications, executing simulation trades, and performing Monte Carlo analysis.
Essential job functions will include but are not limited to:- Develop and implement mission-to-high fidelity level models for simulations to support strategy, technology/concept development, requirements, design, and test of communications equipment and systems.
Required Qualifications: - US Citizenship and an active secret clearance
- Bachelor of Science in a technical discipline (i.e., engineering, mathematics, physics).
- 5+ years of relevant modeling and simulation experience.
- Understanding of aerospace system functions and dynamics and how to model them.
- Capability to perform analysis measuring key system performance metrics and verifying model behavior utilizing ground and flight test data.
- Ability to create, test, and debug scripts, Python, and C++ programs.
- Prior experience modeling entire systems or individual components, such as sensors, GNC, and propulsion.
- Excellent communication skills (both oral and written).
- Ability to apply engineering rigor to solve engineering/scientific problems.
- Prior experience supporting a major defense acquisition program in a high-visibility environment with mission-critical responsibilities.
- Self-starter who can work independently and in a collaborative team environment.
Desired Skills and Experience: - TS/SCI clearance
- Master of Science degree in a STEM discipline.
- Prior experience working with the AFSIM simulation framework is highly desired.
- Experience modeling and analyzing RF and IR-based engagements of air and space platforms.
- Proven ability to perform hi-fidelity operational system analysis to quantify sensor, weapon system, and kill chain effectiveness.
- Experience developing briefings and presenting analysis results to high-level government customers to help them in their decision-making processes.
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