Technical Intern

Location: 6314 Remote/Teleworker US

Leidos is seeking a summer intern with a Computer Science, Software Engineering, Systems Engineering, or similar technical background to join our team in support of the SMIT 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 of AI-enabled solutions and automation. This role will work closely with multi-disciplinary scrum teams which include systems 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 to AI agents, automation, system design, and cybersecurity accreditation in a mission-critical environment.

Primary Responsibilities

Support development and prototyping of AI agents and AI-enabled automation solutions

Assist with documenting system architecture, data flows, and security considerations to support the ATO 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 of Python-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 to Robotic 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 Bachelor’s degree program in Computer Science, Software Engineering, Systems Engineering, Cybersecurity, Data Science, or related field.

Experience with programming or scripting, preferably Python

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 of 3.0 or higher

Preferred Qualifications

Exposure to AI agents, machine learning, or generative AI frameworks

Familiarity with ATO / RMF concepts or cybersecurity compliance processes

Experience supporting or developing automation 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 as Jira 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:September 16, 2026

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:Pay Range $48,100.00 - $86,950.00

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.