Software Engineer, Senior

Skyline Scientific Inc•Dayton, OH

9d•Onsite

About The Position

Skyline Scientific is seeking a skilled Python software engineer to contribute to machine learning-enabled sensor-data workflows, neural network training pipelines, automation tools, and algorithm development for national security missions. This role requires an individual who can not only write code but also understand technical problems, design software logic, build modular workflows, and collaborate with experts in sensors, data, and machine learning. The ideal candidate is a strong coder, a clear thinker, and enthusiastic about building software for simulation, training data workflows, automation, analysis, and operational decision-making. The position is located in Dayton, Ohio, supporting clients at Wright-Patterson AFB, and may involve work in Windows and Linux environments, including classified workspaces. Candidates must be comfortable working in secure customer environments. Skyline Scientific offers top-tier benefits, an entrepreneurial culture, and a collaborative team environment.

Requirements

Bachelor’s degree in Engineering, Computer Science, Mathematics, Physics, Data Science, or a related STEM field. Equivalent technical experience may be considered.
10+ years of algorithm development, scientific computing, machine learning workflow support, or related technical software experience.
Programming experience for software development, data processing, automation, analysis, or algorithm implementation.
Ability to work from technical requirements and create logical software architecture, workflows, and implementation plans.
Comfortable collaborating with subject matter experts to understand data, algorithms, mission needs, and technical constraints.
Familiarity with source control and development tools such as Git, GitLab, Bitbucket, Jira, Jenkins, or similar tools.
U.S. citizenship and ability to obtain and maintain a security clearance.
Willingness and ability to work in classified or secure customer environments.

Nice To Haves

Active Top Secret, TS/SCI
Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Image Science, Physics, Mathematics, Data Science, or a related field.
Experience with machine learning workflows, neural network applications, training data preparation, data labeling, model evaluation, or ML-enabled analytics.
Experience with PyTorch, TensorFlow, scikit-learn, NumPy, pandas, OpenCV, or similar technical computing and machine learning tools.
Experience with sensor data, scientific data, signal processing, image processing, simulation, modeling, or equivalent technical data workflows.
Familiarity with sensor systems, data collection systems, radar, lidar, imaging systems, satellite systems, flight systems, or similar technical systems.
Experience developing software for simulation, modeling, data workflows, automation, mission analysis, or scientific/engineering applications.
Experience creating software architecture diagrams, workflow schematics, logic trees, or technical implementation plans.
Experience with C, C++, Java, Rust, MATLAB, or another technical/system-level programming language.
Background in mathematics, engineering, physics, image science, electrical engineering, computer engineering, or scientific computing.
Experience integrating algorithms into existing software suites or operational workflows.
Experience with CI/CD, automated testing, software packaging, deployment, GitLab, or similar source control and DevSecOps tools.
Experience supporting defense, intelligence, aerospace, scientific, engineering, or classified customer environments.
Self-motivated, adaptable, and comfortable learning new technical domains.
Interest in machine learning, neural networks, training data, model evaluation, or data-driven algorithm development.

Responsibilities

Develop and maintain Python-based software for scientific, analytical, simulation, automation, machine learning, and operational applications.
Work with sensor experts, scientists, machine learning specialists, and analysts to translate technical concepts into software requirements, logic trees, schematics, and executable workflows.
Create clear software architecture, block diagrams, code structure, and documentation so that tools can be maintained, extended, and transitioned to other users.
Test, integrate, troubleshoot, and optimize algorithms, data pipelines, machine learning-enabled tools, and software modules into deployable software packages.
Manage, maintain, and optimize Git repositories.