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Designs, analyzes, integrates, and tests RF, radar, sensor, and electromagnetic systems for defense and research prototypes. Responsibilities include RF architecture, component selection, prototype fabrication, laboratory measurements, troubleshooting, test automation, signal processing, and performance characterization. The engineer uses C++, Python, and RF instrumentation, collaborates across engineering disciplines, supports customer programs and proposals, and independently owns complex RF work packages from requirements through validation.

Build and maintain GPU-capable development environments, containerized workflows, and GitLab CI/CD pipelines for machine learning teams. Develop shell scripts, enforce code quality and merge request standards, standardize ML development practices, and support secure deployments in DoD-restricted environments. Collaborate with researchers, software engineers, and cybersecurity teams to transition prototypes into production. Contribute to SBIR/STTR project execution, technical documentation, onboarding, and proposal development.

Leads software modernization, data migration, UI development, system integration, testing, debugging, and architecture for intelligence mission applications. Collaborates with infrastructure, database, UI, and program teams; communicates technical risks and tradeoffs to government stakeholders; mentors engineers; promotes maintainable, scalable, and reliable software practices. The role requires an active TS/SCI clearance and U.S. citizenship and is contingent on contract award.

Supports configuration management for defense system development and modification projects. Reviews change requests, notices, drawings, design release documentation, and authorizations; maintains configuration databases and records; submits engineering changes; prepares audit documentation; and reports configuration status. The role also develops technical solutions, recommends policy changes, and interfaces with government customers in a DoD environment.

Develop, train, and deploy AI/ML systems, including deep reinforcement learning, explainability, adversarial learning, and interpretability solutions. Architect AI systems, design training datasets, implement research-based models, develop MLOps pipelines, and communicate results to technical and nontechnical audiences. Lead multidisciplinary projects, support proposals and conferences, mentor junior engineers, and collaborate across teams. The role requires strong Python development, deep learning expertise, research literacy, customer interaction, and an active or obtainable Secret clearance.

Build and maintain GPU-capable development environments, containerized workflows, and GitLab CI/CD pipelines for machine learning teams. Develop automation, enforce code quality and merge-request standards, document standardized ML practices, and support secure deployment in DoD-restricted environments. Collaborate with researchers, software engineers, and cybersecurity teams to transition prototypes into production-ready systems while contributing to SBIR/STTR projects and proposals.

Develop and extend AFSIM plugins, mission-level simulations, and SysML-based MBSE models for multi-domain defense applications. Build automated modeling workflows, migrate legacy modeling and simulation tools to cloud-native architectures, and support CI/CD and containerized deployments. Debug, optimize, validate, and document simulations while collaborating with engineers and system architects on system-of-systems integration.

Designs, develops, and executes system-level tests for ground-based radar hardware and software. Creates test plans, procedures, scripts, specifications, and reports; analyzes test data; identifies defects; troubleshoots updates; and supports modernization, integration, and formal government testing. Collaborates with systems engineering, software, hardware, cybersecurity, and logistics teams while ensuring testing meets requirements, standards, schedules, and operational expectations.

Provides senior cyber engineering and cyberspace test and evaluation expertise for Department of Defense research and development programs. Responsibilities include assessing, demonstrating, testing, and validating offensive and defensive cyber capabilities; evaluating sensor performance; supporting mission engineering, modeling and simulation, developmental testing, and operations research; reviewing technical documentation; and advising project managers and government stakeholders. Requires extensive cyber experience, program management background, industry certifications, U.S. citizenship, and Top Secret clearance with SCI eligibility.

Owns end-to-end embedded engineering for rapid defense prototypes, including system architecture, FPGA design, PCB design, firmware, hardware bring-up, sensor and high-speed interface integration, and verification. Develops C/C++ software, VHDL/Verilog logic, and Python test automation; debugs systems in the lab; documents results; briefs customers; mentors engineers; and contributes to proposals and research. The role is in-person in Huntsville, Alabama and requires U.S. citizenship and an active or obtainable Secret clearance.