Threat and Weapons System Engineer with ML/AI
2 weeks ago
DEFENSE
Overview:
SEG is seeking a Threat and Weapons System Engineer with ML/AI to be part of a systems analysis team providing technical contributions and analysis for U.S. Surface Navy (e.g. Aegis Baseline) programs and Missile Defense Agency (MDA) Ballistic Missile Defense System (BMDS) projects
Responsibilities:
Responsibilities
Characterize sensor and missile performance against threat ballistic and cruise missiles through modeling, simulation and analysis using digital simulations and machine learning tools. Characterize sensitivities to threat variability
Develop, integrate, and use analytical models and tools to test new threat data and software products, assess system capability, and drive system requirements and design
Define technical approach and plan studies based on understanding of engineering community and appreciation of customer need
Employ commercial machine learning tools to characterize large amounts data supporting analysis studies and model generation
Travel anticipated at 5 percent of time or less
Systems Group Overview
Candidate will be part of a team responsible for weapon system simulation and performance analysis. The team develops and integrates individual system models for analysis (threats, weapons, sensors) to include multiple interacting systems. This team contributes to defining, leading and performing analyses for requirements feasibility, sensitivity studies for threat variability and fidelity, asset planning and what-if scenarios, flight-test mission (requirements, planning, and analysis) support and certification efforts.
The group provides independent verification and validation support for internal system-level products. This offers opportunities to work with SEG sensors, vehicles, phenomenology products and engineers integrated within our simulation software development environment to view the battle environment scenes through the eyes of combat systems.
The group includes subject matter experts and technical leads providing direct technical support to various defense programs as a contributing member of broad cross-functional and technical subject-specific integrated product teams.
We bring threat and weapons knowledge together to support concept definition, threat driver assessments, system requirements, design reviews, test planning, and defining roadmaps for future development
Qualifications:
Required Qualifications
Ability to obtain and maintain a US DoD SECRET clearance
Bachelor of Science Degree: Systems Engineering, Aerospace, Mechanical, Electrical, Physics or Applied Math.
5-10 years work experience
Strong analytical skills
Must demonstrate solid background and experience with MATLAB or Python
Programming and scripting experience in a Linux environment
Excellent written and oral communication
Experience developing and presenting briefing material
Desired Qualifications
Active US DoD SECRET or TOP SECRET Security Clearance
Master of Science or PhD degree preferred with relevant research project experience
Experience with radar modeling
Experience with machine learning tools including how to set-up, train, and generate results to inform analysis and support model design and development
Experience working with C++ API and creating test drivers
Self-starter – Demonstrate independent ownership of tasking. Position affords opportunity to define path and lead tasks based on technical understanding of engineering community and appreciation of customer needs
Modeling and analysis experience and capability in one or more of the following areas:RF Sensors / EO-IR Imaging / Remote Sensing Systems – Signal Processing, Detection and Track Filtering
Multi-Sensor Data Fusion, Target Classification and Discrimination (Machine Learning / AI applications)
Missile Systems (Aerodynamic, Ballistic, Space)
Defense Weapon System Performance (e.g. Navy Surface systems, Ballistic Missile Defense systems)
Ground Test and Field Test Events (missile flight and sensor track pre-event prediction and post-mission assessment)
Familiarity with version-control (Git), issue tracking (JIRA), collaboration software (Confluence), and cross-language software integration tools (SWIG)
Familiarity with high-performance computing environments
Knowledge of aerospace /defense systems technology domains
Demonstrated experience working with Navy, Air Force, and DoD contractors in a software development environment
Mathematical background in areas such as statistics, linear algebra, complex analysis, differential equations, Monte Carlo methods, numerical methods, and machine learning (ML) or artificial Intelligence (AI)
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