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As a Senior Remote Sensing Sof tware 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.
Architect end‑to‑end remote sensing processing systems for EO / IR missions
Lead develop ment of radio met ric 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 met hods
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
Join us. The world can’t wait.
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
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Experience with Python, scientific Python packages or other Object-oriented programming languages such as C++ or JavaScript
Experience architecting with large-scale sof tware 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 develop ment workflows or agentic tools
Ability to display a record of publications, whitepapers, presentations or mission briefings
Master’s degree in Computer Science, Sof tware Engineering, Physics, Mathematics or related field preferred ; Doctorate degree in Computer Science, Sof tware 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.
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided .
Work Model Our 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.
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
Consulting and technology services for government and commercial clients
Visit company websiteJobs and hiring trendsUSD 86800-198000 yearly / year
Full-time
Senior · 8+ years experience
Onsite
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