[Hiring] Senior Remote Sensing Software Engineer @Booz Allen Hamilton

Role Description

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.

What You’ll Work On:

• 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.

Qualifications

• 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.

Requirements

• 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.

Benefits

• Health, life, disability, financial, and retirement benefits.
• Paid leave, professional development, tuition assistance, work-life programs, and dependent care.
• Recognition awards program for exceptional performance.
• Eligibility for benefit programs for full-time and part-time employees working at least 20 hours a week.