Remote Sensing Software Engineer: DAY-2607

Socket.dev; Beavercreek (OH); On-site; USD 110,000 - 160,000; Full time

Job summary

deciBel Research in Dayton, OH seeks a Remote Sensing Software Engineer to architect advanced SDA and remote sensing exploitation pipelines. You will lead multi-disciplinary teams and shape tools integrating imaging physics, ML inference, and multi-sensor fusion.

The role requires 3+ years in remote sensing or GEOINT, proficiency in Python/C++, and TS/SCI clearance with willingness for a polygraph. You'll work on scalable computing using HPC or cloud and collaborate with mission leadership.

Qualifications

• BS in Physics, Mathematics, Computer Science, Software Engineering or related field.
• 3+ years in remote sensing, image processing, or GEOINT data exploitation.
• Experience with Python, C++ or JavaScript and OO programming.
• Experience with large-scale software environments (CUDA, HPC or cloud).
• TS/SCI clearance and willingness to take a polygraph.

Responsibilities

• Architect end-to-end remote sensing processing systems for EO/IR missions.
• Lead development of radiometric and spectral response models.
• Oversee imaging algorithms including multi-frame super-resolution, deconvolution, and low-SNR enhancement.
• Direct ML-based anomaly detection, behavior classification, and object discrimination.
• Design multi-sensor fusion pipelines using Bayesian or ML methods.
• Lead trajectory estimation and 3D kinematic modeling.
• Architect scalable scientific computing solutions using Python, C++, CUDA, HPC or cloud.
• Collaborate with engineers and set roadmaps with client and mission leadership.

Skills

Python

C++

CUDA

ML for imagery

GEOINT

leadership

Education

BS in Physics/Math/CS/Software Eng

Master’s or PhD desired

Tools

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:

• 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.