Technical Intern

Leidos is seeking asummer intern with aComputer Science, Software Engineering, Systems Engineering, or similar technical background to join our team in support of theSMIT contract, the largest IT services program for the U.S. Navy.

Under the Service Management, Integration, and Transport (SMIT) program, the Leidos team delivers the core backbone of the Navy–Marine Corps Intranet (NMCI), including cybersecurity services, network operations, service desk, and data transport. The team supports the Navy in unifying enterprise services while meeting rigorous cybersecurity and compliance requirements.

The successful candidate will support the development ofAI-enabled solutions and automation. This role will work closely withmulti-disciplinary scrum teams which includesystems engineers, cybersecurity engineers, and Information System Security Engineers (ISSEs) to help design, document, and mature solutions that meet technical, security, and compliance standards. The internship offers hands-on exposure toAI agents, automation, system design, and cybersecurity accreditation in a mission-critical environment.

Primary Responsibilities

• Support development and prototyping ofAI agents and AI-enabled automation solutions
• Assist with documenting system architecture, data flows, and security considerations to support theATO process
• Work with systems engineers and ISSEs to support risk assessments, control implementation, and compliance artifacts
• Help translate technical solution designs into documentation aligned with RMF / ATO requirements
• Support development ofPython-based automation or scripts used by AI agents or operational workflows
• Assist with testing, validation, and refinement of AI or automation solutions prior to production use
• Contribute toRobotic Process Automation (RPA) initiatives to reduce manual effort and improve efficiency (as needed)
• Participate in Agile ceremonies including daily scrums, sprint planning, and retrospectives
• Contribute to backlog items, technical documentation, and process improvements
• Collaborate with a geographically distributed (remote) team

Basic Qualifications

• Enrolled in a Master’s degree program inComputer Science, Software Engineering, Systems Engineering, Cybersecurity, Data Science, or related field
• Experience withprogramming or scripting, preferablyPython
• Understanding of system architecture concepts, data flows, or software design fundamentals
• Strong analytical, documentation, and problem-solving skills
• Ability to collaborate with technical and cybersecurity stakeholders
• Interest in AI, automation, and secure system delivery
• Ability to obtain a Secret level security clearance
• US citizenship required
• GPA of3.0 or higher

Preferred Qualifications

• Exposure toAI agents, machine learning, or generative AI frameworks
• Familiarity withATO / RMF concepts or cybersecurity compliance processes
• Experience supporting or developingautomation or RPA solutions (UiPath or similar tools)
• Experience with system diagrams, architecture documentation, or technical writing
• Familiarity with REST APIs, microservices, or cloud-based architectures
• Exposure to Agile development and tools such asJira or Azure DevOps
• Security+ certification or interest in pursuing DoD-aligned cybersecurity certifications

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.