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Lead technical teams to research, develop, test, integrate, and demonstrate advanced signal processing, optimization, and ML algorithms for radar, electronic warfare, and sensor systems. Direct modeling/simulation and plan test & evaluation in lab and field environments. Communicate results and translate customer requirements for stakeholders and primes.

Lead the development of AI/ML algorithms for signals exploitation, estimation theory, and resource management. Collaborate and lead teams in a national security context.

The Embedded Systems Emulation Engineer will develop tools for emulating cyber-physical systems, analyze binaries, and create integrated simulations while ensuring model quality and correctness.

Lead and mentor small multidisciplinary teams to develop, test, integrate, and demonstrate novel signal processing, optimization, and machine learning algorithms for radar, electronic warfare, and advanced sensor systems. Direct modeling & simulation, plan and support lab and field test & evaluation, and communicate technical results to customers and stakeholders.

As an Embedded Systems Emulation Engineer, you will develop emulation tools for cyber-physical systems and analyze firmware for embedded systems. You'll collaborate in a team to build models, ensure quality, and validate against documentation and hardware.

Lead Software Engineers will develop software solutions for national security, oversee technical challenges, mentor juniors, and enhance real-time data communications.

The Senior Tracking Scientist will develop tracking technologies, conduct data analysis, algorithm development, and validation, while collaborating with multi-disciplinary teams.

The Principal Radar Systems Engineer leads the design and development of radar systems, collaborating with teams to ensure customer needs are met through innovative solutions, simulations, and testing.

Design, implement, test, and deploy interactive UX and data-visualization front-end applications for defense programs. Build high-performance components, optimize responsiveness across devices and browsers, integrate geolocation/mapping, containerize deployments (Docker/Kubernetes), collaborate with stakeholders, and produce software documentation and user training materials.

The Lead Model-Based Systems Engineer will design and implement software systems, analyze requirements, and support DoD mission areas using MBSE techniques.