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Remote Cvs Software Developer Jobs in Dayton, OH

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

What Impact You'll Have GRVTY is looking for a Senior Software Engineer to join a small ... Background in signal processing, image processing, or remote sensing data workflows. * Experience ...

Sr. Staff Software Engineer

Dayton, OH · On-site +1

$119K - $157K/yr

... remote sensing algorithms, tools, and techniques to deliver world-class data exploitation ... Professional experience with DevOps and CI/CD tooling, including: Docker, Jenkins, GitLab CI/CD

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

What Impact You'll Have GRVTY is looking for a Senior Software Engineer to join a small ... Background in signal processing, image processing, or remote sensing data workflows. * Experience ...

Showing results 21-40

Remote Cvs Software Developer information

See Dayton, OH salary details

$46.7K

$108.7K

$161.3K

How much do remote cvs software developer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for remote cvs software developer in Dayton, OH is $108,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,500.00 and $126,400.00 per year, depending on experience, location, and employer.
What are popular job titles related to Remote Cvs Software Developer jobs in Dayton, OH? For Remote Cvs Software Developer jobs in Dayton, OH, the most frequently searched job titles are:
Infographic showing various Remote Cvs Software Developer job openings in Dayton, OH as of July 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $108,709 per year, or $52.3 per hour.

Software Engineer, Senior

GRVTY

Dayton, OH • On-site, Remote

$119K - $157K/yr

Full-time

Re-posted 19 days ago


Job description

What Impact You'll Have

GRVTY is looking for a Senior Software Engineer to join a small, technically focused team supporting national security missions at a customer site in Dayton, Ohio. This is hands-on engineering work - you will be designing and building Python-based software tools that support optical signature modeling, spectral data analysis, and machine learning-enabled sensor workflows. The work spans algorithm development, data pipeline construction, and integration of ML capabilities into operational and analytical environments.

You will work directly with scientists, sensor domain experts, and intelligence analysts - translating complex technical requirements into functional, maintainable software. This is not a role for someone looking to coast. We want someone who is technically sharp, can operate with a degree of autonomy, and understands that the software they build has real downstream impact on mission outcomes.

What You'll be Owning

  • Design, develop, and maintain Python-based software tools supporting optical signature modeling, spectral sensor data processing, and analytical workflows.
  • Work with sensor physicists, data scientists, and machine learning engineers to translate technical concepts and mission requirements into working software.
  • Build and optimize data pipelines for ingesting, processing, and analyzing large-scale scientific and sensor datasets.
  • Develop and integrate machine learning workflows - including training data preparation, model integration, and evaluation - into operational toolsets.
  • Create clear software architecture documentation, workflow diagrams, and code structure so tools can be maintained, extended, and transitioned effectively.
  • Test, validate, and troubleshoot algorithms and software modules across development and deployment environments, including classified workspaces.
  • Manage and maintain Git repositories with discipline - clean commits, meaningful documentation, and reproducible builds.
  • Contribute to a culture of technical rigor: peer reviews, coding standards, and honest engagement with complex problems.

What You Must Have

  • Active Top Secret clearance with ability to obtain SCI and CI polygraph.
  • Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, Data Science, or a related STEM field. Equivalent hands-on experience will be considered.
    • 9+ years of professional software development experience, with demonstrated focus on scientific computing, algorithm development, data processing, or related technical domains or 7+ years of experience and a Masters degree
  • Expert-level Python programming, including object-oriented design, modular architecture, and production-quality code.
  • Experience developing software for data-intensive workflows - sensor data, scientific data, simulation, or equivalent.
  • Ability to work from technical or scientific requirements and produce well-structured software architecture, logic flows, and implementation plans.
  • Comfortable operating in both Windows and Linux environments, including secure or classified customer workspaces.
  • Familiarity with source control and development tooling: Git, GitLab, Bitbucket, Jira, Jenkins, or equivalent.
  • Strong communication skills - able to work directly with domain experts who are not software engineers and translate what they need into software that actually works.

What Would be Nice to Have

  • Experience with optical signature modeling, EO/IR sensor data, spectral analysis, or hyperspectral data processing.
  • Familiarity with machine learning frameworks and workflows: PyTorch, TensorFlow, scikit-learn, or equivalent.
  • Experience with scientific Python libraries: NumPy, pandas, OpenCV, SciPy, or similar.
  • Background in signal processing, image processing, or remote sensing data workflows.
  • Experience with simulation, modeling, or mission analysis software in a defense or intelligence context.
  • Familiarity with ML/Ops practices - training pipelines, data labeling, model evaluation, and deployment workflows.
  • Experience integrating algorithms into existing operational software suites.
  • Proficiency in a secondary technical language: C, C++, MATLAB, Java, or Rust.
  • Advanced degree in a relevant technical field (Computer Science, Electrical Engineering, Physics, Image Science, or related).
  • Prior experience supporting defense, intelligence, or classified customer environments.
  • Experience with CI/CD practices, automated testing, and DevSecOps tooling.