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Design, model, verify, and analyze RF and mixed-signal subsystems for electronic warfare threat simulators and radar seekers. Support RF, analog, and digital hardware verification; derive subsystem requirements; analyze emerging RF seeker threats; and report findings. The role requires radar RF subsystem design, waveform, antenna, beamforming, DSP, laboratory testing, EM simulation, and MATLAB experience, along with an active Secret clearance and ability to maintain TS/SCI clearance.

Develop system-level concepts for integrated fires mission command capabilities using MBSE and Agile workflows. Define system behavior, interfaces, performance, acceptance criteria, and requirements traceability. Create and maintain MagicDraw models, solution engineering documents, Jira tickets, and capability artifacts. Collaborate with military, government, contractors, and subject matter experts; lead reviews, adjudicate comments, prioritize capabilities, and transition features into the backlog.

Designs, implements, and maintains multi-vendor DoD networks while ensuring system security and regulatory compliance. Responsibilities include network configuration, vulnerability scanning with HBSS and ACAS, RMF compliance, security violation investigation, policy recommendations, patch and upgrade recommendations, COMSEC material tracking, and customer reporting. The role requires collaboration with end users, strong communication, independent judgment, and an active DoD Secret clearance.

Provides technical oversight and subject matter expertise for UAS datalink system development, integration, qualification, sustainment, upgrades, and field issue resolution. Develops datalink strategies, evaluates RF and communications technologies, assesses threats and technical risks, coordinates with government laboratories, contractors, and program offices, and recommends policy and technical direction. Supports acquisition documentation, represents UAS in technical forums, and communicates technical and programmatic information to government and industry stakeholders.

Architects enterprise AI/ML systems, including training pipelines, inference services, feature stores, data ingestion, and MLOps frameworks. Leads multidisciplinary engineering teams, defines technical roadmaps, oversees execution, and interfaces with senior government stakeholders. Establishes secure engineering, DevSecOps, testing, and model governance practices while guiding cloud-native integrations, advanced ML tool adoption, responsible AI, architecture reviews, and strategic planning for Defense Intelligence Agency missions.