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RF Signatures Model Developer
2 months ago
We are seeking a highly skilled RF Signatures Model Developer to join our team at Systems Engineering Group. As a key member of our team, you will be responsible for developing and implementing numerical models of RF signatures for use in real-time Hardware in the Loop (HWIL) simulations.
Key Responsibilities:- Conduct thorough analysis of computational electromagnetic simulation output to identify patterns, trends, and anomalies.
- Produce high-quality numerical models of simulation outputs utilizing team process and procedures.
- Contribute to the development of new modeling and analysis tools.
- Create technical data review and analysis briefings for both internal and external stakeholders.
- Stay current with the latest advancements in RF/IR technology, signal processing algorithms, and modeling techniques.
- Document and present methodologies and model performance to both technical and non-technical audiences.
- Must be a US Citizen and have the ability to obtain and maintain a US DoD SECRET clearance.
- 4-8 years of relevant experience.
- Bachelor of Science degree in physics, applied mathematics, data science, engineering, or related field.
- Mathematical background in linear algebra, differential equations, complex analysis, numerical methods, and statistics.
- Familiarity with electromagnetic theory, quantum mechanics, and fluid dynamics.
- Intermediate proficiency in MATLAB, Python, R, C/C++, or similar coding language for data analysis, algorithm development, and model implementation.
- Excellent verbal and written communication skills.
- Strong presentation skills.
- Active US DoD SECRET (or higher) clearance.
- 5-10 years of relevant experience.
- Masters or PhD in physics, applied mathematics, data science, or engineering with relevant project experience.
- Advanced proficiency in MATLAB, Python, R, C/C++, or similar coding language for data analysis, algorithm development, and model implementation.
- Familiarity with software version control and issue tracking.
- Experience with Atlassian tool suite (Confluence, JIRA, etc.).
- Experience with implementing linear or non-linear regression machine learning models.
- Experience with analyzing large datasets.
- Modeling and analysis experience in the characterization of adversary missile systems.
- Experience working with Linux systems.
- Familiarity with utilizing high-performance computing (HPC) environments for physics or mathematical simulations.
- Familiarity with Finite Element Analysis (FEA).