Computer Engineer

Skyline Scientific Inc•Springfield, VA

5h•$160,000 - $200,000•Onsite

About The Position

Skyline Scientific is seeking a motivated computer engineer to work on machine learning-enabled sensor-data workflows, neural network training pipelines, automation tools, and algorithm development in support of national security missions. This role is ideal for someone who can understand a technical problem, design software logic, build modular workflows, and collaborate with experts to translate complex technical concepts into usable tools. The position requires a willingness to learn, clear thinking, and enthusiasm for working with scientists and engineers to build software supporting simulation, training data workflows, automation, analysis, and operational decision-making. Strong code organization skills are essential. Work may occur in both Windows and Linux environments, including classified workspaces, and candidates must be comfortable in secure customer environments. Skyline Scientific offers top-tier benefits, an entrepreneurial culture, and a team of experts passionate about their work, providing real engineering challenges, supportive leadership, and the ability to make a direct impact.

Requirements

Bachelor’s degree in Computer Engineering, Electrical Engineering, Mathematics, Physics, Data Science, or a related STEM field. Equivalent technical experience may be considered.
2+ 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 well defined 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.
Self-motivated, adaptable, and comfortable 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, TS/SCI
Experience with machine learning workflows, neural network applications, training data preparation, data labeling, model evaluation, or ML-enabled analytics.
Experience with sensor data, 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/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.
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.