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The Opportunity:

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, user centric tools that accelerate mission outcomes.

What You'll Work On:

• 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.

Join us. The world can't wait.

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 polygraphexam

• Bachelor's degree in a STEM field

Nice If You Have:

• Experience with administration of continuous integration and 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 an engineering field, Physics, Mathematics, Computer Science, or a 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

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

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. We reserve the right to take your picture to verify your identity and prevent fraud.

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. 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.

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.