Remote Sensing Software Engineer

deciBel Research, Inc.; Beavercreek (OH); On-site; USD 120,000 - 180,000; Full time

Job summary

deciBel Research, Inc. is seeking a Remote Sensing Software Engineer in Dayton, OH to architect advanced SDA and remote sensing exploitation pipelines.

You will guide technical direction and lead multi-disciplinary teams building high-fidelity space observation analytics that integrate imaging physics, ML-based inference, and multi-sensor fusion. Responsibilities include leading radiometric and spectral modeling, multi-frame super-resolution, ML-based anomaly detection, and multi-sensor fusion

Qualifications

• BS in Physics, Mathematics, CS or related field.
• 3+ years of experience in remote sensing, image processing, or GEOINT data exploitation.
• TS/SCI clearance and willingness to take a polygraph.

Responsibilities

• Lead development of radiometric and spectral models for imaging data.
• Oversee imaging algorithms including super-resolution, deconvolution, and low-SNR enhancement.
• Direct ML-based anomaly detection, behavior classification, and object discrimination.
• Design multi-sensor fusion pipelines using GEOINT, Radar, RF, and optical data.
• Lead trajectory estimation and 3D kinematic modeling including uncertainty quantification.
• Architect scalable computing solutions using Python, C++, CUDA, HPC or cloud platforms.
• Collaborate with engineers and set roadmaps with client and mission leadership.

Skills

Remote sensing

Python

C++

ML

Education

BS in Physics

MS or PhD in related field

Tools

CUDA

HPC

Cloud platforms

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:

• 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 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
• 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.