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Remote Sensing Software Engineer, Mid

Remote / Online - Candidates ideally in
Philadelphia, Philadelphia County, Pennsylvania, 19113, USA
Listing for: Booz Allen Hamilton
Full Time, Part Time, Remote/Work from Home position
Listed on 2026-10-28
Job specializations:
  • Software Development
    Python, AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 69400 USD Yearly USD 69400.00 YEAR
Job Description & How to Apply Below

Remote Sensing Software Engineer, Mid

What You'll Do:
  • 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 Num Py, OpenCV, Astropy, or Sci Py, 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 Git Lab, 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.

** You Have:**
  • 4+ years of experience with domain research, image processing, or data exploitation

  • Experience designing, modifying, developing, writing, and implementing software programming applications using agile methods

  • Experience with Python and scientific Python packages, such as Num Py, Sci Py, OpenCV, or xarray

  • Experience with basic orbital mechanics

  • Experience with ML frameworks such as PyTorch or Tensor Flow

  • 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 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 Git Lab based CI/CD workflows

  • Master’s degree in Physics, Mathematics, Computer Science, Software Engineering or related 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.

Skills Assessment As 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.

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.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $69,400.00 to $ (annualized USD). The estimate…

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