Booz Allen Hamilton is seeking a Remote Sensing Software Engineer to design and implement high-fidelity data processing pipelines that convert raw sensor streams into actionable insights for Space Domain Awareness. The role emphasizes secure, user-oriented tooling and machine learning driven detection and classification workflows in a collaborative environment.
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 machine learning enabled detection, anomaly identification, and object classification modules using operational EO/IR and synthetic datasets
- Design scientific Python pipelines using libraries such as NumPy, OpenCV, Astropy, and SciPy for real time and batch processing
- Support orbital modeling tasks including SGP4, TLE ingestion, and basic pose estimation
- Conduct imagery preprocessing such as radiometric calibration, artifact correction, and multi-frame filtering
- Maintain reproducible environments with GitLab, containers, and experiment-tracking tools
- Collaborate with astrodynamics subject matter experts, 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 applications using agile methods
- Proficiency in Python and scientific packages such as NumPy, SciPy, OpenCV, or xarray
- Foundational knowledge of orbital mechanics
- Experience with ML frameworks such as PyTorch or TensorFlow
- Experience working with large sensor datasets (e.g., HDF5) or cloud object storage
- Active TS/SCI clearance; willingness to take a polygraph examination
- Bachelor’s degree in a 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: Some in-person work may be required at a Booz Allen or customer facility
- Hybrid: Regular presence at a Booz Allen facility with possible visits to customer sites
- Onsite: Primary work conducted at a Booz Allen office or customer facility, with collaboration as needed
Nice If You Have
- Experience administering CI/CD pipelines using Kubernetes, Docker, or Jenkins
- Knowledge of sensor phenomenology, radiometric calibration, or remote sensing interpretation
- Experience with super-resolution, deblurring, spectral exploitation, or resolved feature extraction
- Background in uncertainty quantification, Kalman filtering, or tracking algorithms
- Familiarity 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 a related STEM field
Clearance
Applicants will undergo a security investigation and must meet eligibility requirements for access to classified information. TS/SCI clearance is required.
Compensation
The projected annual salary range is $69,300.00 to $158,000.00 USD. Compensation is determined by factors including education, experience, knowledge, skills, competencies, contract-specific considerations, and organizational requirements. The range shown reflects typical market value for this role.
Identity Statement
As part of the hiring process, an identity verification process utilizing advanced biometrics and artificial intelligence is conducted to ensure authenticity and protect against identity fraud. Interview and assessment sessions may require on-camera participation, and imagery may be captured for verification purposes.
Candidate AI Usage Policy
Booz Allen supports responsible AI use in daily work. The policy restricts the use of AI tools to assist with interview responses unless explicit permission is granted, ensuring a fair evaluation based on the candidate’s own skills and knowledge.
Commitment to Non-Discrimination
Qualified applicants will receive consideration for employment without regard to disability, veteran status, or any other status protected by applicable laws at the federal, state, local, or international level.
