Remote Sensing Software Engineer, Mid

Remote Sensing Software Engineer, Mid

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.

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

Join us. The world can't wait.

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

Experience in Python, C++, Java, or another modern object-oriented language

Experience developing software for scientific, engineering, or statistical problem sets

Experience with orbital mechanics, satellite characterization, domain-specific applications, or SDA operational workflows

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

Bachelor's degree

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

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.

Skills AssessmentAs part of Booz Allen's skills first hiring process, candidates must complete the required skills assessment to ensure they meet the Basic Qualifications for this role. Candidates must complete the assessment and meet the minimum proficiency threshold to continue in the hiring process.

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. 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 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.

Apply at: https://ipc.us/t/C1E0940CA2AF46D7.