Remote Sensing Software Engineer
Job Description
Responsibilities
- 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
Requirements
- 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 administering 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 engineering, Physics, Mathematics, Computer Science, or related STEM field
Technologies
- Python, NumPy, SciPy, OpenCV, Astropy, xarray
- PyTorch, TensorFlow
- HDF5, GitLab
- Kubernetes, Docker, Jenkins
Benefits
- Health benefits
- Life benefits
- Disability benefits
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
Work Model
Remote: There may be occasions to work in person at a Booz Allen or customer facility.
Hybrid: You will work from a Booz Allen facility frequently, in line with leadership expectations and role needs; occasional visits to customer facilities may be required.
Onsite: Work primarily at a Booz Allen office or customer facility, collaborating directly with colleagues and customers as required.
Clearance
Applicants will undergo a security investigation and must meet eligibility for access to classified information; TS/SCI clearance is required.
Compensation
The typical annual salary range for this role is $69,300 to $158,000, depending on location, education, experience, and other factors.
Identity Verification
As part of the hiring process, candidates may complete an identity verification process that uses biometrics and artificial intelligence. Interviews and assessments may require on-camera participation, and Booz Allen may capture a photo to verify identity.
Candidate AI Usage Policy
AI tools are part of Booz Allen’s workflow, but use of AI to assist with interview responses is prohibited unless explicitly permitted.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, or any other status protected by law.
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