Remote Sensing Software Engineer - Aurora

Booz Allen Hamilton; Aurora (CO); Remote; USD 69,000 - 158,000; Full time

Job summary

Booz Allen Hamilton is hiring a mid-level Remote Sensing Software Engineer to join a collaborative technical delivery team applying imaging, physics-based modeling, and AI/ML to OPIR and remote-sensing challenges. You will develop high-fidelity processing pipelines and secure, reliable tools that advance mission outcomes.

The role involves real-time and batch processing, radiometric calibration, and machine-learning modules using PyTorch or TensorFlow, with a remote-first posture and occasional

Qualifications

• At least 4 years of experience in domain research, image processing, or data exploitation.
• Experience designing, modifying, developing, writing, and implementing software 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 machine-learning frameworks such as PyTorch or TensorFlow.
• Experience working with large sensor datasets, such as HDF5 or cloud object storage.
• Active TS/SCI clearance and willingness to take a polygraph exam.
• Bachelors degree in a STEM field.

Responsibilities

• 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 machine-learning modules for detection, anomaly identification, and object classification using operational and synthetic data.
• Design scientific Python pipelines with tools such as NumPy, OpenCV, Astropy, or SciPy for real-time and batch processing.
• Support orbital modeling tasks, including SGP4, TLE ingestion, and basic pose estimation.
• Preprocess imagery through radiometric calibration, artifact correction, and multi-frame filtering.
• Maintain reproducible environments using GitLab, containers, and experiment-tracking tools.
• Collaborate with astrodynamics subject-matter experts, operations personnel, and ML engineers to deliver integrated capabilities.

Skills

Domain research

Image processing

Data exploitation

Agile methodologies

Python

NumPy/SciPy/OpenCV

PyTorch

TensorFlow

Large sensor datasets

TS/SCI clearance

Bachelor's degree

Education

Bachelor's degree in STEM

Master's degree in Physics/Math/CS/SE

Tools

GitLab CI/CD

HDF5

OpenCV

Job description

Salary: $69,400 - 158,000 per year

Requirements:

• At least 4 years of experience in domain research, image processing, or data exploitation.
• Experience designing, modifying, developing, writing, and implementing software 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 machine-learning frameworks such as PyTorch or TensorFlow.
• Experience working with large sensor datasets, such as HDF5 or cloud object storage.
• Active TS/SCI clearance and willingness to take a polygraph exam.
• Bachelors degree in a STEM field.
• Preferred: experience with sensor phenomenology, radiometric calibration, or signature interpretation.
• Preferred: experience with super-resolution, deblurring, scene exploitation, or resolved feature extraction.
• Preferred: experience with uncertainty quantification, Kalman filtering, or tracking algorithms.
• Preferred: experience with AI-augmented development workflows or agentic tools.
• Preferred: experience with GitLab-based CI/CD workflows.
• Preferred: masters degree in Physics, Mathematics, Computer Science, Software Engineering, or a related STEM field.
• Selected applicants will undergo a security investigation and must meet eligibility requirements for classified information access; TS/SCI clearance is required.
• Candidates must complete the required skills assessment and meet its minimum proficiency threshold to continue in the hiring process.

Responsibilities:

• 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 machine-learning modules for detection, anomaly identification, and object classification using operational and synthetic data.
• Design scientific Python pipelines with tools such as NumPy, OpenCV, Astropy, or SciPy for real-time and batch processing.
• Support orbital modeling tasks, including SGP4, TLE ingestion, and basic pose estimation.
• Preprocess imagery through radiometric calibration, artifact correction, and multi-frame filtering.
• Maintain reproducible environments using GitLab, containers, and experiment-tracking tools.
• Collaborate with astrodynamics subject-matter experts, operations personnel, and ML engineers to deliver integrated capabilities.

Technologies:

• AI
• CI/CD
• Cloud
• GitLab
• Support
• PyTorch
• Python
• Security
• TensorFlow
• numpy
• opencv

More:

We are hiring a mid-level Remote Sensing Software Engineer at Booz Allen to join a collaborative technical delivery team applying advanced imaging, physics-based modeling, and AI/ML to OPIR and remote-sensing challenges. The role supports the development of high-fidelity processing pipelines and secure, reliable, user-centered tools that advance mission outcomes. The position is listed as remote, though occasional work at a Booz Allen or customer facility may be required; virtual employees are generally expected to keep cameras on during meetings. Our benefits include health, life, disability, financial and retirement programs, paid leave, professional development, tuition assistance, work-life programs, dependent care, and recognition awards, subject to eligibility. The projected annual salary range is $69,400 to $158,000, with compensation based on factors including location, qualifications, experience, and organizational and contract requirements. The posting is expected to close within 90 days of its posting date. During hiring, candidates complete identity verification and are expected to be on camera during interviews and assessments; AI assistance during interviews is prohibited unless explicitly permitted.

We consider qualified applicants without discrimination based on protected status.

last updated 40 week of 2026