Software Engineering & Automation Intern

Cubic•Herndon, VA

20h

About The Position

We are seeking a motivated and curious Applied AI and Automation Intern to join our team for the summer. This role focuses on applying modern AI tools and automation techniques to real-world software engineering, security, and geospatial support challenges. This internship is ideal for someone who is eager to learn, enjoys solving difficult problems, and wants hands-on experience working in a collaborative engineering environment. The ideal candidate demonstrates initiative, perseverance through challenging tasks, and a strong drive to succeed.

Requirements

Ability to obtain a DOD Security Clearance
Must be available for the duration of the summer internship period

Nice To Haves

Pursuing a degree in Computer Science, Software Engineering, Information Systems, GIS, Cybersecurity, Data Science, Artificial Intelligence, or a related technical field preferred, but not required
Familiarity with programming or scripting languages such as Python, JavaScript, Java, or similar
Interest in applied AI, software automation, geospatial technologies, or modern development workflows
Exposure to Git, APIs, cloud platforms, or automation frameworks is a plus
Experience using AI-assisted development tools (such as GitHub Copilot, ChatGPT, Claude, Cursor, etc.) is a plus
Familiarity with prompt engineering concepts or AI workflow automation is a plus
Strong willingness to learn and adapt
Persistence when working through difficult technical challenges
Self-motivation and initiative
Positive attitude and drive to succeed
Curiosity about emerging technologies and AI-assisted workflows
Ability to work collaboratively within a team environment
Good communication and problem-solving skills

Responsibilities

Developing and maintaining small software support tools for engineering, security, and development teams
Using AI-assisted software engineering tools and workflows to improve development efficiency and automation
Experimenting with AI technologies, agent-based workflows, and prompt engineering techniques to support operational and engineering needs
Assisting with AI-enabled automation solutions for internal processes and developer workflows
Supporting rapid prototyping efforts using modern AI development tools
Assisting with basic geospatial data management and processing functions
Supporting scripting, automation, and internal tooling initiatives
Participating in Agile/SCRUM ceremonies and learning how engineering teams operate in a corporate environment
Collaborating with engineers to troubleshoot issues, improve workflows, and evaluate emerging technologies