Computer Scientist SME

Job Description

Parsons is seeking a Computer Scientist Subject Matter Expert (SME) to support our cutting‑edge Drone Armor counter‑unmanned aerial systems (C‑UAS) program. The role requires deep expertise in advanced software and application development, computer systems architecture, and applied mathematics to research, design, develop, test, and maintain complex integrated software applications that enable Drone Armor systems to operate effectively in demanding operational environments.

• Provide professional software and application development in various programming languages.
• Design, implement, and maintain software applications supporting Drone Armor C‑UAS capabilities.
• Apply fundamentals and principles of artificial intelligence and information systems, networking, distributed processing, real‑time controls, system‑of‑systems engineering, web, cloud, modeling, and simulation.
• Develop robust, modular, and scalable software aligned with system requirements and performance constraints.
• Perform code reviews and ensure adherence to coding standards, security best practices, and configuration management processes.

• Apply knowledge of computer hardware, systems software, computer system architecture, and integration to support end‑to‑end C‑UAS solutions.
• Design and integrate software components within complex system‑of‑systems architectures.
• Collaborate with systems engineers, RF engineers, data scientists, and other stakeholders to ensure software aligns with overall system design and mission objectives.
• Optimize software performance, reliability, and scalability for real‑time and distributed operational environments.
• Support integration of Drone Armor capabilities with existing DoD and partner systems.

• Apply advanced mathematics including data structures, algorithms, discrete models, and modern algebra to software design and implementation.
• Develop efficient algorithms for detection, tracking, decision support, and other mission‑critical functions.
• Conduct analytical evaluations of algorithm performance, complexity, and suitability for real‑time or resource‑constrained environments.
• Support modeling and simulation activities to evaluate system behavior, performance trade‑offs, and design alternatives.

• Conduct research, design, development, testing, evaluation, and maintenance of software applications in an integrated, lifecycle‑focused manner.
• Develop and execute unit, integration, and system‑level test plans for software components.
• Analyze test results to identify defects, performance issues, and opportunities for improvement.
• Prepare technical documentation including design descriptions, test reports, and user documentation.
• May lead a team of computer scientists on large and complex projects, providing technical direction, mentoring, and quality oversight.

• Master's degree in computer science, electronics engineering, or another engineering or technical discipline with at least 6 years of experience.
• Alternatively, 10+ years of relevant computer science/software development experience may be substituted for the education requirement.

• Significant experience in software or application development in one or more modern programming languages.
• Experience applying fundamentals of artificial intelligence, information systems, networking, distributed processing, real‑time controls, system‑of‑systems, web, cloud, modeling, or simulation.
• Experience applying computer hardware, systems software, computer system architecture, and system integration.
• Experience applying mathematics including data structures, algorithms, discrete models, and modern algebra.
• Experience supporting research, design, development, testing, evaluation, and maintenance of software applications in an integrated manner.
• Experience leading or mentoring software/computer science teams on large and complex projects.

• Proficiency in one or more modern programming languages such as Python,…