Responsibilities
- Architect end-to-end remote sensing processing systems for EO / IR missions
- Lead development of radio metric 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
- Mentor junior engineers and help set technical road maps in collaboration with client and mission leadership
Requirements
- 8+ years of experience in remote sensing, image or 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
- Experience with administration of continuous integration / continuous deployment (CI / CD) pipelines using Kubernetes, Docker, or Jenkins
- Active TS/SCI clearance; willingness to take a polygraph exam
- Bachelor’s degree in a STEM field
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