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Senior Rust Remote Jobs in Ohio (NOW HIRING)

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Background in signal processing, image processing, or remote sensing data workflows. * Experience ... C, C++, MATLAB, Java, or Rust. * Advanced degree in a relevant technical field (Computer Science ...

AI/ML Engineer, Senior

Dayton, OH · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0242678 Location: Dayton,OH,US Share job via: Share AI/ML Engineer ... Apply modern software engineering patterns, including Python, Java, Scala, and Rust, microservices ...

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Background in signal processing, image processing, or remote sensing data workflows. * Experience ... C, C++, MATLAB, Java, or Rust. * Advanced degree in a relevant technical field (Computer Science ...

Senior Rust Remote information

What is a senior Rust remote job?

Senior Rust Remote jobs are advanced software engineering positions that focus on developing applications using the Rust programming language, typically for companies that support remote work. These roles generally require several years of experience with Rust and a strong understanding of systems programming concepts, performance optimization, and safe concurrent programming. Senior Rust developers often lead projects, mentor junior team members, and design complex software architectures. Working remotely allows professionals in these roles to collaborate with global teams and contribute to open-source or proprietary projects from anywhere in the world.

What are the key skills and qualifications needed to thrive as a senior Rust developer working remotely?

To thrive as a Senior Rust Developer, you need advanced programming skills in Rust, a strong understanding of systems architecture, and several years of software development experience. Familiarity with tools like Cargo, Git, CI/CD pipelines, and experience integrating Rust with other technologies are typically required, along with a proven track record of delivering production-ready code. Strong problem-solving abilities, excellent communication, and self-motivation are essential soft skills for remote collaboration and project ownership. These skills ensure you can build robust, high-performance software while effectively contributing to distributed teams and complex projects.

What are some common challenges faced by senior Rust developers working remotely, and how can they be addressed?

Senior Rust developers working remotely often face challenges such as coordinating complex projects across distributed teams and maintaining code quality in asynchronous environments. Effective communication using collaboration tools, thorough documentation, and regular code reviews are essential strategies to mitigate these challenges. Additionally, proactively engaging in architecture discussions and staying updated on evolving Rust best practices help ensure alignment and project success. Building strong relationships with team members through virtual meetings also fosters a sense of connection and shared purpose.

What cities in Ohio are hiring for Senior Rust Remote jobs?

Cities in Ohio with the most Senior Rust Remote job openings:

Infographic showing various Senior Rust Remote job openings in Ohio as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Software Engineer, Senior

GRVTY

Dayton, OH • On-site, Remote

$119K - $157K/yr

Full-time

Re-posted 25 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.