Software Engineering & Automation Intern

Business Unit:

Cubic Defense

Company Details:

When you join Cubic, you become part of a company that creates and delivers technology solutions in transportation to make people's lives easier by simplifying their daily journeys, and defense capabilities to help promote mission success and safety for those who serve their nation. Led by our talented teams around the world, Cubic is committed to solving global issues through innovation and service to our customers and partners.

We have a top-tier portfolio of businesses, including Cubic Transportation Systems (CTS) and Cubic Defense (CD). Explore more on Cubic.com.

Job Details:

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.

What You'll Do

As an Applied AI and Automation Intern, you will work alongside experienced engineers and contribute to real-world projects, including:

• 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

What We're Looking For

Desired Qualities

• 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

Preferred Qualifications

• 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

Requirements

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

What You'll Gain

• Hands-on experience applying AI tools to real engineering problems
• Exposure to AI-assisted software development and automation workflows
• Experience working in a SCRUM/Agile engineering environment
• Mentorship from experienced engineers and technical leaders
• Practical experience in a corporate engineering setting
• Exposure to geospatial and security-oriented development environments

Cubic Pay Range:

$27.00 - $42.00 + benefits.

The Cubic 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.

Worker Type:

Employee

We are committed to creating an inclusive workplace and welcome applications from people of all backgrounds. We do not discriminate based on any protected characteristic under applicable law.