IT Undergraduate Intern

Dell Technologies•TX, TX

14d•$25 - $31

About The Position

Dell IT is looking for a new generation of AI-Native Engineers eager to learn, innovate, and make an impact from day one. As a Dell IT Intern, you'll work alongside experienced engineers, architects, data scientists, and product leaders to help build intelligent solutions that drive measurable business outcomes. We are seeking students who combine strong software engineering fundamentals with a passion for applying Artificial Intelligence to solve real-world problems. At Dell Technologies, we are committed to the professional development of our college students by presenting opportunities to strengthen technical, business, and networking skills. Dell IT Interns join us for a 10-week summer internship where they gain exposure to meaningful projects, modern engineering practices, and emerging AI technologies. Interns contribute to solutions that create measurable value across Dell while building connections with peers, mentors, and technology leaders throughout the organization. Throughout the internship, participants gain hands-on experience in software engineering, AI, data, cloud technologies, and enterprise platforms while developing the foundational skills needed for future technology leadership opportunities within Dell IT.

Requirements

Pursuing a bachelor’s degree in computer science, Computer Engineering, Software Engineering, Artificial Intelligence, Data Science, or Machine Learning
Strong foundation in software engineering fundamentals including object-oriented programming, data structures, and algorithms
Proficiency in at least one programming language such as Python, Java, JavaScript, TypeScript, or C++
Demonstrated interest in Artificial Intelligence through coursework, projects, research, hackathons, student organizations, or personal initiatives
Familiarity with Generative AI concepts including LLMs, AI assistants, copilots, AI agents, prompt engineering, or Retrieval-Augmented Generation (RAG)
Strong problem-solving, communication, and collaboration skills
Ability to learn quickly and adapt in a fast-paced environment
Demonstrates curiosity and continuous learning, especially in emerging technologies and AI innovation
Collaborate effectively with diverse teams and stakeholders
Shows initiative and ownership when tackling challenges
Adapts quickly to new situations and evolving priorities
Communicates clearly and effectively
Demonstrates integrity and responsible technology practices

Nice To Haves

Experience with AI/ML technologies such as PyTorch, TensorFlow, LangChain, LlamaIndex, Semantic Kernel, or similar tools
Experience building AI assistants, copilots, AI agents, chatbots, or intelligent automation projects
Exposure to cloud platforms such as AWS, Azure, or GCP
Experience using APIs, databases, Git, or CI/CD tools
Participation in hackathons, research programs, technical competitions, or open-source projects
Portfolio or GitHub repository demonstrating software engineering and AI-related projects
Experience applying AI technologies to solve real-world business or technical problems

Responsibilities

Develop and enhance software applications, AI-powered tools, or intelligent workflows used by employees and customers
Support the design and implementation of Generative AI, AI assistant, and automation solutions
Explore and apply technologies such as Large Language Models (LLMs), AI agents, and Retrieval-Augmented Generation (RAG)
Contribute to cloud-native applications and enterprise-scale platforms
Collaborate with engineers, architects, product owners, data scientists, and business stakeholders
Participate in testing, debugging, monitoring, and continuous improvement activities
Apply responsible AI, security, privacy, and governance principles throughout solution development
Learn emerging technologies quickly and apply them to practical business challenges