Remote Sensing Software Engineer

deciBel Research, Inc.; Dayton (OH); On-site; USD 120,000 - 160,000; Full time

Job summary

deciBel Research, Inc. in Dayton, OH seeks a Remote Sensing Software Engineer to architect SDA and exploitation pipelines, lead multi-disciplinary teams, and deliver high‑fidelity space observation analytics.

You will work with imaging physics, ML-based inference, and multi-sensor fusion, deploying scalable Python/C++ solutions on HPC or cloud, and you may need an active TS/SCI clearance. This role requires strong problem-solving, collaboration with mission leadership, and the ability to

Qualifications

• BS in a related science/engineering field required.
• 3+ years in remote sensing or GEOINT processing.
• Active TS/SCI clearance with polygraph willingness.

Responsibilities

• Architect end-to-end remote sensing processing systems for EO/IR missions.
• Lead development of radiometric and spectral models.
• Oversee 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 using Bayesian or ML 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.

Skills

Remote sensing

Image processing

GEOINT data exploitation

ML for imagery

Python

C++

Cloud computing / HPC

Security clearance

Education

BS in Physics, Mathematics, CS or Software Engineering

Master’s or PhD in related field (preferred)

Tools

CUDA

HPC

Cloud platforms

C++

TensorFlow / ML frameworks

Job description

deciBel Research has an immediate opening for a Remote Sensing Software Engineer in Dayton, OH.

Position Description

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.

Responsibilities Include

• 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

Education Requirements

BS in Physics, Mathematics, Computer Science, Software Engineering or related field

Experience Requirements

• 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

Special Skills Desired

• 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

Applicant selected must have an active Top Secret/SCI security clearance, with ability to take a polygraph. Must be a U.S. Citizen.