nou Systems, Inc.

System Administrator

• You’ll be the appointed System Administrator (SA) / Information System Security Officer (ISSO) responsible for operating, maintaining, and improving the daily operations of a classified computing environment.
• Collaborating with a multidisciplinary team to support independent research and development, design, and fabrication of novel radar/RF technologies.
• Linux and Windows system administration, to include Ubuntu and networked classified systems.
• Collaborate with engineering teams to develop, maintain, and enhance tools, libraries, and applications.
• Troubleshoot and resolve complex hardware, software, and network issues within the Linux environment.
• Responsible for implementation of continuous monitoring strategies including weekly audit reviews.
• Operations consists of patching, backup, software deployment, new system builds and deployments, account management, and troubleshooting.
• Hardening, developing documentation, and information security control design in support of RMF certification.
• Support planning, integration, and test activities.
• Assist in translating objectives into architectural concepts, system and functional requirements, and develop system specifications and external interfaces.
• Communicate solutions and concepts to engineering, scientific, and technical audiences.
• Operate independently and be proactive in identification of problems and solutions.

Systems Administrator

Machine Learning Engineer

• Develop, train, evaluate, and analyze machine learning models using Python and PyTorch, writing modular, maintainable, and testable code.
• Build backend software components that support ML workflows, data processing, model evaluation, and system integration.
• Help identify, prepare, and validate training and evaluation datasets.
• Implement and adapt ML methods from open literature, including supervised learning and deep learning approaches.
• Work in Linux-based, containerized development environments using VS Code Dev Containers, Remote-SSH, Docker/Podman, and contribute to continuous improvement of development processes.
• Use GitLab-based workflows for source control, issue tracking, merge requests, code review, and collaboration.
• Communicate technical results clearly through written documentation, presentations, and team discussions.
• Support multiple project teams and help translate ML concepts into practical engineering solutions.