Senior Computer Scientist/Engineer (AI w/ Cloud)
Parsons
via workdayFirst listed here 2026-09-21
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Job Description:
Parsons is seeking a Computer Scientist/Engineer, Senior to support our cutting-edge Drone Armor counter-unmanned aerial systems (C-UAS) program. This critical role provides professional software and application development and requires the application of advanced computer science, engineering, and mathematical principles to research, design, develop, test, evaluate, and maintain complex software applications in an integrated manner. The Senior Computer Scientist/Engineer may also lead a team of computer scientists on large and complex projects within the Drone Armor program.
What You'll Be Doing
Software & Application Development
Provide professional software and application development in various programming languages in support of Drone Armor C-UAS capabilities
Design, implement, and maintain complex software components and services that enable mission-critical functions
Apply fundamentals and principles of: Artificial intelligence and information systems
Networking, distributed processing, and real-time controls
System-of-systems engineering, web, cloud, modeling, and simulation
Design, implement, and integrate AI/ML-enabled capabilities (e.g., detection, classification, tracking, sensor fusion, decision-support) into operational Drone Armor workflows
Develop cloud-native and cloud-enabled applications and services that leverage commercial or tactical cloud environments for scalable C-UAS capabilities
Ensure software is robust, secure, maintainable, and aligned with program performance and reliability requirements
Conduct code reviews and enforce coding standards, security practices, and configuration management processes
Systems Architecture, Integration & Technical Leadership
Apply expert knowledge of computer hardware, systems software, computer system architecture, and system integration to support end-to-end C-UAS solutions
Architect and integrate software components within complex system-of-systems environments
Architect and integrate AI/ML pipelines and cloud-based services into existing C-UAS architectures, ensuring interoperability with external systems, sensors, and command-and-control (C2) platforms
Collaborate with systems engineers, RF engineers, data scientists, and other stakeholders to ensure software solutions align with system requirements and mission objectives
Lead or mentor junior and mid-level computer scientists/engineers, providing technical guidance and oversight
May lead a team of computer scientists on large and complex projects, including planning, tasking, and technical quality control
Mathematical Foundations & Algorithm Development
Apply advanced mathematics including data structures, algorithms, discrete models, and modern algebra to software and algorithm design
Develop, analyze, and optimize algorithms for detection, tracking, decision-support, and other mission-critical capabilities
Evaluate algorithm performance, complexity, and suitability for real-time, distributed, or resource-constrained environments
Support modeling and simulation activities to analyze system behavior and assess performance trade-offs
Research, Test, Evaluation & Lifecycle Support
Lead or significantly contribute to research, design, development, testing, evaluation, and maintenance of software applications in an integrated, lifecycle-focused manner
Define and execute unit, integration, and system-level test strategies for software components and services
Define and execute test and evaluation strategies for AI/ML components and cloud-deployed capabilities, including performance, robustness, and scalability in operationally relevant scenarios
Analyze test results, diagnose complex issues, and drive corrective actions and performance improvements
Prepare and maintain technical documentation including architecture/design descriptions, test reports, and user documentation
Maintain awareness of evolving technologies, tools, and methods relevant to C-UAS and advanced software systems
What Required Skills You'll Bring
Education
Master’s degree in computer science, electronics engineering, or other engineering or technical discipline is required with 6 years of experience
OR
10 years of relevant software/computer science experience may be substituted for education
Experience
Minimum 6 years of experience in professional software or application development using modern programming languages
Experience applying: Fundamentals and principles of artificial intelligence, information systems, networking, distributed processing, real-time controls, system-of-systems, web, cloud, modeling, simulation, or some combination thereof
Computer hardware, systems software, computer system architecture, and system integration
Mathematics including data structures, algorithms, discrete models, and modern algebra
Experience supporting the research, design, development, testing, evaluation, and maintenance of software applications in an integrated manner
Experience leading teams or providing technical leadership on large and complex software projects
Experience designing, implementing, or integrating AI/ML-based capabilities into operational systems, with emphasis on real-time or near-real-time decision-support, detection, or tracking
Experience developing and deploying cloud-based or cloud-native solutions (e.g., using AWS, Azure, GCP, or government/tactical cloud environments) supporting mission or enterprise systems
Technical Competencies
Proficiency in one or more modern programming languages such as Python, C+
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