[Hiring] Remote Sensing Software Engineer @Booz Allen Hamilton

Role Description

As a 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 OPIR 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, user-centric tools that accelerate mission outcomes.

What You'll Do:

• Develop software tools for radiometric modeling and sensor 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 data 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 capabilities

Qualifications

• 4+ years of experience with domain research, image processing, or 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

Requirements

• Experience with sensor phenomenology, radiometric calibration, or signature interpretation
• Experience with super-resolution, deblurring, scene 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, Computer Science, Software Engineering or related STEM field

Benefits

• Health, life, disability, financial, and retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care
• Recognition awards program for exceptional performance

Compensation

The projected compensation range for this position is $69,400.00 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.

Identity Statement

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.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. 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

• 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 or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

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.