Software Engineering Intern

Copart•Dallas, TX

20h•Hybrid

About The Position

Copart is seeking a curious, driven Software Engineering Intern to join its Title Transfer Services team in Dallas, Texas. The team owns the ownership and title transfer process for vehicles received at Copart yards nationwide. This greenfield role contributes to a strategic re-architecture initiative, building modern, scalable services and Java and React full-stack applications while exploring agentic AI to automate and optimize operational processes. The intern will work across architecture and design, development, AI and automation, collaboration, and continuous improvement. The role includes building modular applications, RESTful APIs, responsive interfaces, backend services, and tests; using AI coding agents with responsibility for reviewing and testing their output; and prototyping AI agents using the emerging Python, Google Agent Development Kit, and GCP stack. The intern will collaborate with product managers, domain experts, business stakeholders, UX/UI designers, QA engineers, and DevOps, and participate in code reviews, technical planning, and agile ceremonies. The position is hybrid in Dallas, Texas. Copart describes the internship as offering hands-on software engineering experience, professional development and learning opportunities, a collaborative and inclusive environment, and opportunities to work on high-impact systems and real-world AI applications.

Requirements

Bachelor's or Master's degree in Computer Science, completed or in progress; a Master's degree is preferred.
Hands-on experience building agentic AI applications through personal, academic, or professional projects, such as agents that plan, call tools or APIs, or run multi-step workflows; provide links or descriptions.
Regular use of AI coding agents in development, with the judgment to review, test, and take ownership of the code they produce.
Strong programming fundamentals in at least one backend language, such as Java, Python, Go, or C#.
Exposure to frontend development with a modern JavaScript framework such as React, Vue, or Angular.
Solid understanding of software design principles, including SOLID, DRY, and KISS, and common design patterns.
Understanding of RESTful API design.
Familiarity with relational databases and data modeling.
Experience with version control using Git and exposure to CI/CD practices.
Passion for learning and staying current with technology trends and best practices.
Strong problem-solving abilities and analytical thinking.
Excellent communication and collaboration skills.

Nice To Haves

Experience with Java, Spring Boot, and the Spring ecosystem.
Experience building React applications.
Experience building agents in Python.
Exposure to agent frameworks such as Google's Agent Development Kit (ADK) or similar.
Exposure to Google Cloud Platform (GCP) or another major cloud platform.
Familiarity with agent concepts such as tool calling, retrieval, multi-agent orchestration, and evaluating agent behavior.
Interest in modular monolith architectures and when to use monoliths versus microservices.
Exposure to Domain-Driven Design concepts.
Experience with Docker and containerization.
Background in automotive, logistics, or document processing domains.
Experience with test-driven development (TDD).
Side projects, open-source contributions, hackathons, or experimentation with different technology stacks.
Active participation in technology communities, conferences, or online learning.
Experience across multiple programming paradigms, such as object-oriented and functional programming.

Responsibilities

Help design and implement modular, domain-aligned, AI-powered applications for vehicle title transfer and ownership processes.
Help design RESTful APIs and integration patterns for communication between modules.
Contribute to technical discussions about tooling, frameworks, and system design.
Build and maintain features across Java, Spring Boot, and React applications.
Use AI coding agents to accelerate development, while reviewing, testing, and taking ownership of generated code.
Build responsive user interfaces and robust backend services.
Write tests to support code quality and system reliability.
Participate in code reviews and provide and receive constructive feedback.
Write clean, well-documented code using sound engineering principles and design patterns.
Build and prototype AI agents to automate and optimize title transfer processes and operational workflows.
Identify opportunities to use AI and automation to reduce manual effort and improve efficiency.
Work with the emerging agent stack, including Python, Google's Agent Development Kit, and GCP.
Evaluate emerging technologies for potential applications to business problems.
Collaborate with product managers, domain experts, and business stakeholders to understand requirements and translate them into technical solutions.
Work with UX/UI designers, QA engineers, and DevOps to deliver end-to-end solutions.
Learn from experienced engineers through pairing, code reviews, and technical planning sessions.
Share knowledge about AI coding agents and agentic tooling with the wider team.
Stay current with emerging technologies, frameworks, and industry trends, especially agentic AI.
Identify opportunities to reduce technical debt and optimize systems.
Contribute ideas to team standards, processes, and tooling.
Participate in agile ceremonies, including sprint planning, daily standups, and retrospectives.