Remote Sensing Software Architect – Space Analytics

deciBel Research, Inc

Beavercreek (OH)

On-site

USD 120,000 - 180,000

Full time

4 days ago

Be an early applicant

Application generator

Turn this role into an interview — a resume and cover letter built around what this employer wants.

Get past ATS filters

Job summary

deciBel Research, Inc is seeking a Remote Sensing Software Engineer to architect advanced SDA and sensing pipelines in Dayton, OH. You will guide technical direction and lead multi-disciplinary teams building high-fidelity space observation analytics.

You will work on imaging physics, ML-based behavior inference, and multi-sensor fusion, with responsibilities spanning model development, algorithm design, and cloud/HPC deployables. A clearance is required.

Qualifications

BS in Physics, Mathematics, Computer Science, Software Engineering or related field.
Experience with 3+ years in remote sensing, image/signal processing, or GEOINT data exploitation.
Experience with Python, scientific Python packages or other object-oriented languages such as C++ or JavaScript.
Experience architecting with large-scale software environments (CUDA, HPC or cloud).
Experience with ML systems for imagery processing, target detection, tracking, or object classification.
Active TS/SCI clearance, willingness to polygraph, U.S. citizenship preferred.

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, RF, Radar, 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.