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Provides technical leadership for real-time RF sensor software development, integration, testing, and validation. Designs high-performance C/C++ systems, integrates signal-processing algorithms, debugs distributed and multithreaded applications, and transitions MATLAB/Python prototypes into production software. The role includes technical mentoring, customer and government stakeholder engagement, proposal development, documentation, system demonstrations, visualization tools, and approximately 10% travel for integration and field-testing activities.

Provides technical leadership for designing, developing, integrating, and validating real-time RF sensor software in C/C++. Responsibilities include transitioning MATLAB/Python algorithms into production software, debugging distributed and multithreaded systems, developing integration tests, supporting field demonstrations, mentoring engineers, managing technical risks, and presenting to government customers. The role also contributes to proposals, documentation, dashboards, and system visualization while requiring approximately 10% travel.

Provides technical leadership for real-time RF sensor software development, integration, testing, and validation. Responsibilities include implementing optimized C/C++ systems, transitioning MATLAB/Python algorithms, debugging distributed applications, creating test infrastructure, mentoring engineers, managing technical risks, supporting field demonstrations, and presenting results to government customers. The role also contributes to proposals, documentation, system observability tools, and customer-facing technical planning.

Leads the design, development, integration, and validation of real-time RF sensor software systems. Responsibilities include implementing signal-processing algorithms in C/C++, developing integration and system-level tests, debugging distributed and multithreaded applications, supporting hardware testing and field demonstrations, managing technical risks, mentoring engineers, and collaborating with government customers. The role also contributes to proposals, technical documentation, customer presentations, and observability dashboards. Approximately 10% travel is required.

Lead Firmware Engineer developing FPGA and SoC designs for radar and electronic warfare systems. Responsibilities include translating system requirements into FPGA specifications, implementing and verifying designs through simulation and laboratory testing, supporting hardware integration and production transition, maintaining documentation and test plans, improving development processes, coordinating schedules and budgets, briefing stakeholders, and mentoring engineers. The role requires experience with Verilog or VHDL, Xilinx or Intel FPGA design flows, simulation tools, and eligibility for a Top Secret clearance.

Designs, implements, and operates integrated simulation testbeds for space and defense systems. Responsibilities include modeling algorithms and command-and-control systems, executing test plans, analyzing system performance, defining evaluation criteria, reporting findings, collaborating with research and software teams, briefing customers and executives, and supporting proposals. Requires technical experience in space defense, sensor systems, modeling and simulation, and scientific programming, plus eligibility for a Secret clearance.

Lead federal procurement for defense and intelligence programs across the full lifecycle, ensure FAR/DFARS compliance, manage vendors, conduct source selection and cost analyses, mentor staff, drive process improvements, and apply AI tools to optimize contracts and supply chain performance.

Designs, develops, integrates, tests, and fields advanced RF hardware systems for defense applications. Responsibilities include defining requirements, selecting RF components, performing link-budget and related analyses, developing test plans, supporting assembly and integration, and analyzing test data. The engineer collaborates with multidisciplinary teams on radar, electronic warfare, communications, and potentially airborne systems throughout the development lifecycle.

Leads development, optimization, implementation, and evaluation of AI/ML algorithm solutions for complex datasets and national security applications. The role focuses on computer vision, 3D modeling, multimodal sensor fusion, open-set recognition, and deployment across cloud and edge environments. Responsibilities include collaborating with researchers, engineers, and academic partners; transitioning prototypes into operational capabilities; and communicating results to technical and non-technical audiences.

Lead software development efforts that operationalize computer vision and machine learning algorithms. Build user-facing features, backend architectures, messaging systems, real-time workflows, distributed processing pipelines, and data ingestion and retrieval systems. Translate stakeholder requirements into deployable AI/ML capabilities, optimize reliability and performance, and collaborate across projects supporting national security applications.