Remote Sensing Software Engineer

deciBel Research • Beavercreek, OH

8h • Onsite

About The Position

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

Requirements

• BS in Physics, Mathematics, Computer Science, Software Engineering or related field
• 3+ years of experience in remote sensing, image/signal processing, or GEOINT data exploitation
• Experience with orbital mechanics, satellite characterization, Domain-specific applications or SDA operational workflows
• Experience with Python, scientific Python packages or other Object-oriented programming languages such as C++ or JavaScript
• Experience architecting with large-scale software environments (such as CUDA, HPC or cloud)
• Experience with ML systems for imagery processing, target detection, tracking, or object classification
• TS/SCI clearance, and willingness to take a polygraph
• Must be a U.S. Citizen.

Nice To Haves

• 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

Responsibilities

• Architect end‑to‑end remote sensing processing systems for EO/IR missions
• Lead development of radiometric and spectral response models
• Oversee advanced imaging algorithms including multi-frame super-resolution, deconvolution, target phenomenology detection, and low-SNR enhancement
• Direct ML‑based anomaly detection, behavior classification, and object discrimination frameworks
• Design multi-sensor fusion pipelines integrating GEOINT, Radar, RF, and optical data using Bayesian or ML-based methods
• Lead 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
• Collaborate with other engineers and help set technical road maps in collaboration with client and mission leadership

What This Job Offers

• Job Type: Full-time
• Career Level: Senior