Research Engineer - Optimization and Dynamical Systems

About the role

Join CACI’s Cyber Science and Technology Division to apply advanced algorithms and tackle complex optimization and dynamical systems challenges. You’ll research, develop, and implement innovative solutions using state-of-the-art methods—including machine learning—integrated into larger hardware and software systems. This role offers technical leadership, opportunities to present to customers, and involvement in business development.

Responsibilities

• Develop and justify performance of algorithms for optimization, signal processing, and dynamical systems
• Conduct detailed modeling and simulation, quantifying impacts of candidate solution architectures
• Oversee development of standalone applications and major software subsystems, ensuring adherence to software best practices
• Assist in creating detailed technical plans, including tasks, schedules, and labor estimates
• Develop automated tests to rigorously evaluate algorithms and software capabilities
• Contribute as a core team member during proposal development and project execution

Required Qualifications

• Master’s degree in computer science, applied mathematics, physics, or related discipline, plus at least 5 years’ experience
• Proven experience developing algorithms and software applications
• Strong background in optimization, signal processing, dynamical systems theory, and analysis of linear/nonlinear systems
• Significant experience with Python and C++