Remote Sensing Software Engineer

CFD is seeking a Remote Sensing Software Engineer, to develop advanced SDA and remote sensing exploitation pipelines, guide technical direction, and work with multi-disciplinary teams building high-fidelity space observation analytics. This work will shape next‑generation tools that integrate imaging physics, ML-based behavior inference, and multi‑sensor fusion.

• Architect end‑to‑end remote sensing processing systems for EO/IR missions
• Develop radiometric and spectral response models
• Support development of advanced imaging algorithms including multi-frame super-resolution, deconvolution, target phenomenology detection, and low-SNR enhancement
• Implement ML‑based anomaly detection, behavior classification, and object discrimination frameworks
• Design multi-sensor fusion pipelines integrating GEOINT, Radar, RF, and EO/IR data using Bayesian or ML-based methods
• Conduct trajectory estimation and 3D kinematic modeling, including IOD, parallax exploitation, and uncertainty quantification
• Architect scalable scientific computing solutions using Python, C++, CUDA, HPC clusters, or cloud-native platforms

Basic Qualifications:

• 3-8+ years of experience in remote sensing, image/signal processing, or GEOINT data exploitation
• Experience with satellite characterization, orbital regimes, Domain-specific applications or SDA operational workflows
• Experience with Python or other Object-oriented programming languages such as C++ or JavaScript
• Understanding of enterprise software development best practices, to include version control, interfacing with HPC/cloud computing, containerization, unit testing, Linux-based systems, and AGILE development
• Experience with ML systems for imagery processing, target detection, tracking, or object classification
• Bachelor’s degree in related STEM field
• TS/SCI clearance or Top Secret clearance with SCI eligibility

• U.S. Citizenship is REQUIRED.

Desired Qualifications:

• Experience with remote sensing systems in support of missile warning/tracking missions
• Experience with building/training synthetic models for simulation‑aided training
• Experience integrating EO/IR, RF, Radar, or GEOINT tracks into fused solutions
• Record of publications, whitepapers, presentations or mission briefings
• Experience with uncertainty quantification, Kalman filtering, or tracking algorithms
• Experience with AI‑augmented development workflows or agentic tools
• Master’s degree or Ph.D. in Physics, Mathematics, Computer Science, Software Engineering or related field
• TS/SCI clearance with CI polygraph

Location: This role is based in the Dayton, OH area, and is 100% onsite.