Remote Sensing Software Engineer: DAY-2607
Required skills
- TS/SCI clearance
- polygraph
- U.S. Citizen
Nice to have
- missile warning/tracking missions
- synthetic models
- simulation-aided training
- AI-augmented development workflows
- agentic tools
Role summary
deciBel Research is seeking a Remote Sensing Software Engineer in Dayton, OH to architect advanced SDA and remote sensing exploitation pipelines. This role involves guiding technical direction and leading teams in building high-fidelity space observation analytics. You will shape next-generation tools integrating imaging physics, ML-based behavior inference, and multi-sensor fusion. Responsibilities include architecting processing systems, leading model development, overseeing imaging algorithms, directing ML-based detection frameworks, designing fusion pipelines, leading trajectory estimation, and architecting scalable scientific computing solutions using Python, C++, CUDA, HPC, or cloud platforms. A BS degree and 3+ years of experience in remote sensing, image/signal processing, or GEOINT exploitation are required, along with experience in Python, C++, ML systems, and large-scale software environments. TS/SCI clearance is mandatory.
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.
