Research Engineer - Optimization and Dynamical Systems

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

Requirements

• Master’s degree in computer science, applied mathematics, physics, or related discipline, plus at least 10 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++
• Proficiency with Linux operating systems and utilities
• Experience with standard modeling and simulation software packages, tools, and methods
• Ability to anticipate strengths and weaknesses of algorithmic solutions; perform simulation, testing, and evaluation to compare alternatives quantitatively
• Effective communication skills for presenting research outcomes to senior staff and customers
• Demonstrated leadership in organizing and executing technical efforts
• US citizenship with ability to obtain, maintain, or transfer Top Secret clearance

Qualifications

• Ph.D. in computer science, applied mathematics, physics, or related discipline
• Experience integrating machine learning methods with signal processing and/or time-series data analysis
• Knowledge of information theory, probability theory, and statistical tests (parametric/non-parametric)
• Experience with data-driven approaches to systems analysis
• Top Secret with SCI clearance preferred

Benefits

• Flexible time off benefit
• Robust learning resources
• Comprehensive healthcare, wellness, financial, retirement, and family support benefits
• Continuing education and time off benefits

Pay

The proposed salary range for this position is $113,200 - $237,800. There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications.

Schedule

• Full time
• Up to 10% travel required (local)