Remote Sensing Software Engineer, Senior

Booz Allen Hamilton•Aurora, CO

2d•$86,900 - $198,000•Remote

About The Position

As a senior Remote Sensing Software Engineer, you will 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. You’ll join a collaborative technical delivery team where you’ll contribute to secure, reliable, user‑centric tools that accelerate mission outcomes.

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 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
Active TS/SCI clearance; willingness to take a polygraph exam
Bachelor’s degree in a STEM field

Nice To Haves

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 OPIR, EO/IR, RF, Radar, or GEOINT tracks into fused solutions
Experience creating publications, white papers, 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 in Physics, Mathematics, Computer Science, Software Engineering, or a related field preferred; Doctorate degree in Physics, Mathematics, Computer Science, Software Engineering, or a related field a plus

Responsibilities

Architect end‑to‑end remote sensing processing systems for infrared remote sensing 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.