$140,000 - 180,000
Are you looking for more than just a seat on a contract? Are you tired of big-box defense contractors where your contributions get lost in layers of bureaucracy? At Skyline Scientific, your skills will shape the future. Skyline Scientific is looking for a motivated computer engineer who is excited 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 the software logic, build modular workflows, and work closely with sensor, data, and machine learning experts to turn complex technical concepts into usable tools. This role requires willingness to learn and expand your skills, a clear thinker, and someone who is excited to work with scientists and engineers to build software that supports simulation, training data workflows, automation, analysis, and operational decision-making and strong code organization skills. Work may be performed in both Windows and Linux environments, including classified workspaces. Candidates must be comfortable working in secure customer environments.
We offer top-tier benefits, an entrepreneurial culture, and a tight-knit team of experts who are passionate about their craft. If you're looking for real engineering challenges, supportive leadership, and the ability to make a direct impact, this is the place for you.
Job Responsibilities:
Required Qualifications:
Preferred Qualifications:
Benefits:
This isn't a role where you'll sit idle on a contract—it's an opportunity to design, develop, and deploy advanced software and AI-driven solutions that impact national security.
If you're looking for a position where your expertise is valued, your work makes a difference, and you're surrounded by top-tier talent, apply today.
Our company is an Equal Employment Opportunity employer. We do not discriminate in employment opportunities or practices based on race, color, religion, sex, national origin, age, disability, or any other characteristic protected by law. We are committed to creating a diverse and inclusive work environment where all employees are valued and respected.
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