Space and Defense Systems Engineer

Skyline Scientific Inc•Dayton, OH

2d•$140,000 - $180,000

About The Position

Skyline Scientific is seeking a computer engineer to develop software supporting national security missions. The role focuses on machine-learning-enabled sensor-data workflows, neural-network training pipelines, automation tools, and algorithm development. The engineer will translate technical problems and concepts into software logic, modular workflows, and usable tools in collaboration with sensor, data, and machine-learning experts. Work supports simulation, training-data workflows, automation, analysis, and operational decision-making. The position requires clear thinking, a willingness to learn, strong code organization, and comfort working in Windows and Linux environments, including classified and secure customer workspaces.

Requirements

Bachelor’s degree in Computer Engineering, Electrical Engineering, Mathematics, Physics, Data Science, or a related STEM field; equivalent technical experience may be considered.
At least 2 years of experience in algorithm development, scientific computing, machine-learning workflow support, or related technical software work.
Programming experience in software development, data processing, automation, analysis, or algorithm implementation.
Ability to work from well-defined technical requirements and create logical software architecture, workflows, and implementation plans.
Comfort 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.
Self-motivated and adaptable, with comfort learning new technical domains.
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 or TS/SCI clearance.
Experience with machine-learning workflows, neural-network applications, training-data preparation, data labeling, model evaluation, or ML-enabled analytics.
Experience with sensor or scientific data, signal processing, image processing, simulation, modeling, or equivalent technical data workflows.
Experience developing software for simulation, modeling, data workflows, automation, mission analysis, or scientific or engineering applications.
Experience creating software architecture diagrams, workflow schematics, logic trees, or technical implementation plans.
Proficiency in Python for software development and data analysis, including version control with Git.
Experience integrating algorithms into existing software suites or operational workflows.
Experience supporting defense, intelligence, aerospace, scientific, engineering, or classified customer environments.

Responsibilities

Develop and maintain Python-based software for scientific, analytical, simulation, automation, machine-learning, and operational applications.
Collaborate with sensor experts, scientists, machine-learning specialists, and analysts to translate technical concepts into software requirements, logic trees, schematics, and executable workflows.
Create software architecture, block diagrams, code structure, and documentation to support maintenance, extension, and transition of tools to other users.
Test, integrate, troubleshoot, and optimize algorithms, data pipelines, machine-learning-enabled tools, and software modules for deployment.
Manage, maintain, and optimize Git repositories.