Remote Sensing Software Engineer, Senior

Booz Allen Hamilton is a leading consulting firm specializing in technology and engineering solutions. They are seeking a Senior Remote Sensing Software Engineer to architect advanced remote sensing exploitation pipelines and lead multi-disciplinary teams in developing high-fidelity space observation analytics.

Responsibilities:

• 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
• 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
• Experience with remote sensing systems in support of missile warning or tracking missions
• Experience with building or training synthetic models for simulation‑aided training
• Experience integrating EO/IR, RF, Radar, or GEOINT tracks into fused solutions
• Experience with uncertainty quantification, Kalman filtering, or tracking algorithms
• Experience with AI‑augmented development workflows or agentic tools
• Ability to display a record of publications, whitepapers, presentations or mission briefings
• Master's degree in Computer Science, Software Engineering, Physics, Mathematics or related field preferred; Doctorate degree in Computer Science, Software Engineering, Physics, Mathematics or related field a plus