Threat and Weapons System Engineer with ML/AI - Axient, LLC

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

• 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

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)