Top Secret Signal Processing Scientist

Prattwhitney; Arlington (TX); On-site; USD 118,000 - 225,000; Full time

Job summary

RTX BBN in Arlington, VA is seeking a Signal Processing Research Scientist to advance state-of-the-art sensing systems for defense and industry. The role focuses on statistical signal processing, estimation, detection, and RF modeling to deliver high-value information from sensed data.

The candidate will work on advanced topics like Kalman/particle filters, adaptive processing, beamforming, SAR, and ML for control, collaborating with government customers and internal teams.

Qualifications

• MS in EE, Math, or Physics with 5+ years of relevant experience or PhD with 3+ years.
• Experience with signal processing incl. estimation, detection, etc.
• Experience with RF modeling and sensing.
• Active Top Secret government security clearance

Responsibilities

• Conduct statistical signal processing, estimation and detection analyses.
• Experiment with cyclostationary processing, waveform design, and adaptive filtering.
• Implement Kalman/particle filters and multi-hypothesis tracking for tracking scenarios.
• Apply machine learning/optimization methods for control and sensing tasks.
• Model RF propagation, link budgets, multipath and non-stationary environments.
• Develop sensing algorithms for SAR, beamforming, and direction finding.

Skills

Statistical signal processing

RF modeling and sensing

Security clearance

Signal processing experience

Education

MS in Electrical Engineering, Mathematics, or Physics

PhD in Electrical Engineering, Mathematics, or Physics

Job description

RTX BBN in Arlington, VA is seeking a Signal Processing Research Scientist to advance state-of-the-art sensing systems for defense and industry. The role focuses on statistical signal processing, estimation, detection, and RF modeling to deliver high-value information from sensed data.

The candidate will work on advanced topics like Kalman/particle filters, adaptive processing, beamforming, SAR, and ML for control, collaborating with government customers and internal teams.