Remote Sensing Software Engineer, Senior
The OpportunityAs 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 Do:- 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
You Have: - 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
Nice If You Have: - 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
Clearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
CompensationSalary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Work ModelOur people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
- Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
- Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
- Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
