Remote Sensing Software Engineer

At Booz Allen, you’ll join a team using advanced imaging, physics-based modeling, and AI / ML to solve some of the nation’s most compelling Space Domain Awareness ( SDA ) and remote sensing challenges. You’ll contribute to the design and development of high-fidelity processing pipelines that transform raw sensor data into insight.

You’ll join a collaborative technical delivery team where you’ll contribute to secure, reliable, and user-centric tools that accelerate mission outcomes.

Develop sof tware tools for radio met ric modeling and satellite observation geo met ry.

Implement imaging and signal processing workflows, including motion compe nsa tion, multi-frame alignment, and super-resolution.

Build ML-enabled detection, anomaly identification, and object classification modules using operational EO / IR and synthetic datasets.

Design scientific Python pipelines such as NumPy, OpenCV, Astropy, or SciPy, for real time and batch processing.

Support orbital modeling tasks such as SGP4, TLE ingestion, or basic pose estimation.

Conduct imagery preprocessing such as radio met ric calibration, artifact correction, and multi-frame filtering.

Maintain reproducible environments using GitLab, containers, and experiment-tracking tools.

Collaborate with astrodynamics SMEs, operations personnel, and ML engineers to deliver integrated mission capabilities.

Join us. The world can’t wait.

4+ years of experience with remote sensing, image processing, or GEOINT data exploitation

Experience designing, modifying, developing, writing, and implementing sof tware programming applications using Agile met hods

Experience with Python and scientific Python packages such as NumPy, SciPy, OpenCV, or xarray

Experience with basic orbital mechanics

Experience with ML frameworks such as PyTorch or TensorFlow

Experience with large sensor datasets such as HDF5 or cloud object storage

Active TS/SCI clearance; willingness to take a polygraph exam

Bachelor’s degree in a STEM field

Experience with administration of continuous integration or continuous deployment ( CI / CD ) pipelines using Kubernetes, Docker, or Jenkins

Experience with sensor phenomenology, radio met ric calibration, or remote sensing interpretation

Experience with super-resolution, deblurring, spectral exploitation, or resolved feature extraction

Experience with uncertainty quantification, Kalman filtering, or tracking algorithms

Experience with AI-augmented development workflows or agentic tools

Experience with GitLab-based CI / CD workflows

Master’s degree in Physics, Mathematics, CS, or a related STEM field

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.