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Engineering Intern - Systems Engineering,… at Leidos · Remote
InternshipRemoteFull-timeRemote$48k–$87k/yr
Skills
systems engineering principlestest engineering conceptsai tools awarenessmodel-based systems engineering
Job Description
Summary: Leidos is a leading company providing IT support for internal and external customers, and they are seeking a motivated Engineering Intern to join their Systems Engineering, Integration & Test (SEIT) team. The intern will assist in developing and deploying a Test Automation platform, gaining hands-on experience in SEIT processes and modern test automation strategies.
Responsibilities:
- Assist with configuring and implementing automated test capabilities
- Supporting integration and test activities
- Develop clear, user-focused documentation for Systems and Test Engineers
- Collaborate with multidisciplinary teams on simulation, modeling, and decision support tools
- Document findings, write test code, and iterate based on feedback and research outcomes
Required Qualifications:
- A solid foundation in Systems Engineering principles and Test Engineering concepts, with an understanding of requirements development / decomposition, integration planning, and system-level and user acceptance test processes
- Familiarity with SEIT activities across the system lifecycle is highly desired
- Awareness of widely used AI tools—such as Claude, Gemini, Copilot, and ChatGPT—and their practical application in engineering workflows is also important
- Actively enrolled in an undergraduate or graduate program
- U.S. citizenship
- Strong interest in or exposure to SEIT automation
- Strong written communication skills are essential, as the intern will create end-user guides, process documentation, and technical references
Preferred Qualifications:
- Coursework, projects, or hands-on experience in areas such as: Ability to define, collect, and analyze metrics to demonstrate Return on Investment (ROI)
- Experience or coursework in Model-Based Systems Engineering (MBSE) (Cameo)
- Understanding of the risks, limitations, and governance considerations of AI-driven automation in enterprise environments
- Interest in AI safety, bias mitigation, or explainability
- Creative problem-solving skills and eagerness to work on exploratory, research-driven efforts
Required Skills: Systems Engineering principles, Test Engineering concepts
Important Skills: AI tools awareness, Model-Based Systems Engineering