Remote Sensing Software Engineer
The Opportunity:

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.

What You'll Do:

• Develop software tools for radiometric modeling and satellite observation geometry.
• Implement imaging and signal processing workflows, including motion compensation, 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 radiometric 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.

You Have:

• 4+ years of experience with remote sensing, image processing, or GEOINT data exploitation
• Experience designing, modifying, developing, writing, and implementing software programming applications using Agile methods
• 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

Nice If You Have:

• Experience with administration of continuous integration or continuous deployment (CI/CD) pipelines using Kubernetes, Docker, or Jenkins
• Experience with sensor phenomenology, radiometric 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.

Compensation

Salary 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 $69,300.00 to $158,000.00 (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 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.