Job Responsibilities Drive the end-to-end design of AI/ML solutions for detection, tracking, data fusion, and classification within integrated sensor systems. Translate research prototypes into mature engineering specifications through requirements definition, architecture development, and rigorous trade studies. Prototype algorithms in C/C++, Python and MATLAB,; leverage frameworks such as PyTorch to optimize system performance. Lead deployment of AI/ML models onto embedded platforms or edge devices and support model updates and post-production maintenance Define and implement data strategies, including data labeling, curation, and data generation for AI/ML model training Ensure AI/ML solutions are aligned with the latest industry and DoD cybersecurity policies Estimate cost, schedule, and technical risk for design efforts, support program planning and execution. Contribute innovative concepts to capture and proposal activities, enhancing competitive differentiation. Collaborate with software, firmware (FPGA), and hardware teams to ensure designs are implementable and scalable, providing clear interface control and test plans. Lead technical design reviews and generate high-quality documentation (requirements, design specs, ICDs, verification plans). Mentor junior engineers, foster systems thinking, and promote best practices across the organization. Work with AT team to enhance engineering development practices using advanced AI/ML techniques Stay current on emerging AI/ML techniques and integrated-sensing methodologies to inform technology roadmaps. Qualifications

Bachelor's degree in Computer Science, Computer Engineering, Systems Engineering, or related STEM field. - 10+ years of relevant experience or a combination of experience and education. Mastery of technologies and domain knowledge Expected to have knowledge and significant experience in multiple engineering disciplines Ability to lead major problem resolution efforts and support regaining or attaining customer partner status. Preferred Qualifications MBSE (Model-Based Systems Engineering) design experience, including familiarity with SysML or similar modeling languages, tools, and methodologies. Proficiency in C/C++ and Python on Linux platforms; strong understanding of configuration-management tools and workflows. Hands-on experience with machine-learning libraries (e.g., PyTorch, DeepStream, TensorFlow). Experience implementing AI/ML solutions on embedded platforms (e.g., NVIDIA Orin) Proficiency of AI/ML model performance metrics, validation techniques, and model interoperability techniques Familiarity with ISR mission concepts, signal processing, sensor fusion, or real-time object detection/tracking is highly desired Demonstrated success transforming system concepts or prototypes into detailed, traceable designs. Proven ability to conduct requirements analysis, architecture definition, and complex trade studies. Proven experience in RF systems design and analysis (communications, or electronic warfare systems), including a solid understanding of RF components, antennas, and propagation principles. Deep background in RF systems and advanced signal processing algorithms with some experience in one or more of the following: communications waveform design, communication link budget analysis, adaptive filtering, or electronic warfare techniques. Prior work experience in the defense or aerospace industry with some experience in one or more of the following: advanced signal processing , secure communications, or electronic warfare systems. Excellent written and verbal communication skills for technical presentations and customer interactions. Familiarity with full life-cycle engineering processes (requirements management, configuration management, verification/validation). U.S. citizenship with the ability to obtain and maintain a DoD security clearance. U.S. Citizenship required. This position requires an active DOD security clearance or the ability to obtain such clearance within a reasonable time after commencement of employment.