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Lead development and application of advanced signal processing, detection, classification, and machine learning algorithms for radar and RF sensing/electronic warfare. Engage customers, lead multidisciplinary teams, translate capabilities into requirements, develop prototypes and demonstrations, and support business development and proposals.

Define system and software architectures for resource-constrained embedded signal-processing platforms. Analyze algorithms to produce system requirements; recommend CPU/DSP/FPGA or hybrid solutions; design, implement, optimize, and port embedded middleware/application software; partition functions between processors and FPGAs; collaborate with integrators and stakeholders; and mentor and provide technical guidance to engineering teams.

As a Lead Model-Based Systems Engineer, you will design, implement, and support complex software systems, utilizing Systems Engineering principles and MBSE techniques to ensure architectural integrity and traceability throughout development.

Lead development and application of advanced signal processing and algorithms for HF communications, including detection, equalization, geolocation, modeling, simulation, and prototype demonstrations. Collaborate with multidisciplinary teams and customers, document and present technical analyses, and support system integration, testing, and optimization for national security sensor systems.

As a Senior Data Scientist, you will develop technologies for signals exploitation, perform data analysis, and implement algorithms while collaborating with project teams.

Lead research and development of advanced HF signal-processing algorithms (detection, equalization, geolocation), model and simulate HF propagation, guide multidisciplinary teams, engage customers, and support prototyping, testing, and proposal/business development.

Researches, develops, evaluates, and integrates AI and machine learning models for national security applications. Analyzes multimodal datasets, including text, imagery, geospatial, time series, and social media data, to identify patterns and generate intelligence insights. Collaborates with researchers, engineers, domain experts, customers, and end users; communicates findings, defines requirements, responds to feedback, and mentors teammates. Work primarily occurs onsite in Woburn, Massachusetts, or Arlington, Virginia.

Research and develop AI and machine learning models for multimodal datasets supporting national security and intelligence missions. Analyze sparse, noisy, and high-dimensional data; identify patterns; build production-ready algorithms; communicate findings to customers; collaborate with multidisciplinary teams; and mentor others. Work includes statistical modeling, deep learning, language models, geospatial analysis, and advanced analytics.

The Principal Model-Based Systems Engineer leads teams using MBSE approaches for DoD mission areas, mentors junior engineers, and ensures compliance with digital engineering goals.

Lead development programs using Model-Based Systems Engineering approaches for DoD systems, mentor junior staff, and guide the implementation of MBSE tools and techniques.