Data Fusion Systems Software Engineer/Analyst (Associate, Experienced or Senior)

Job Description

Develop and evaluate data-fusion algorithms and prototypes using mathematical and statistical methods, analyzing their accuracy and effectiveness against performance indicators. Document algorithms and requirements, analyze and summarize data, and collaborate with customers and software architects to transition successful prototypes into production-ready capabilities.

Requirements: A bachelor's degree is required, along with at least two years of experience in sensors, sensor management or fusion, datalinks or weapons interactions, and data-fusion engines, kinematic correlation, or Kalman filters. Candidates need experience with pattern recognition, multimodal sensor fusion, calibration, or visualization; U.S. citizenship and the ability to obtain a Secret clearance are required.

Key Skills: Data Fusion, Sensor Fusion, Kalman Filtering, Bayesian Networks, Statistical Modeling, Kinematic Correlation, Pattern Recognition, Radar Sensors, Infrared Sensors, Probabilistic Modeling, Advanced Probability and Statistics, C++, Python, MATLAB, Data Analysis, Requirements Development

Benefits: Health Insurance, Flexible Spending Accounts, Health Savings Accounts, Retirement Savings Plans, Life Insurance, Disability Insurance, Paid Time Off, Unpaid Time Off, Potential Signing Bonus, Relocation Assistance