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C
CACI
Research Engineer - Optimization and Dynamical Systems
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What they do
A Signal Processing Engineer develops, tests, and implements digital signal processing algorithms.
$136,150 / year median in New Jersey
-0% projected decline
Job Description
Job Title:
Research Engineer -Optimization and Dynamical Systems Job Category:
Engineering Time Type:
Full time Minimum Clearance Required toStart:
Top Secret Employee Type:
Regular Percentage of Travel Required:
Up to 10%Type of Travel:
Local- Join CACI's Cyber Science and Technology Division to apply advanced algorithms and tackle complex optimization and dynamical systems challenges.
- 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 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 required security clearance
- Top Secret clearance # Desired 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 preferred -