Pure Storage→
AI Engineering Intern, Supply Chain… at Pure Storage · Santa…
InternshipOn-siteFull-timeSanta Clara, CA$62k–$73k/yr
Skills
pythonsqlai/ml foundationsgithub
Job Description
Summary: Pure Storage is reshaping the data storage industry with innovative technology. As an AI Engineering Intern, you will work on high-impact projects, collaborating with mentors to develop AI tools for enhancing global supply chain efficiency.
Responsibilities:
- Build the Clean to Ship (CTS) Copilot: Develop a functional AI Copilot that transforms the complex Clean to Ship environment into an intuitive, user-centric interface. This tool moves beyond theoretical AI by converting raw operational data into actionable intelligence, demonstrating the high-stakes value of LLMs with direct impact on users
- Integrate Operational Data: Establish robust data connections between selected internal sources and your AI model using SQL and APIs to ensure high-quality, context-aware outputs
- Design User Interfaces: Create a basic, intuitive UI suitable for internal demonstrations, allowing stakeholders to interact with and provide feedback on your AI solutions
- Document and Present Solutions: Create comprehensive documentation covering system design and limitations, culminating in a final presentation and live demo to leadership and key stakeholders
- Collaborate Across Functions: Partner with supply chain experts to translate complex operational bottlenecks into technical prompt engineering and Python-based logic
Required Qualifications:
- Ability to work full-time for 12 consecutive weeks during Summer 2026 while currently enrolled in a Bachelor's or Master's program in Computer Science, Industrial Engineering (with a focus on AI and analytics), Software Engineering, or a related field
- Proficiency in Python and experience working with data through SQL, APIs, or data processing tools
- A foundational understanding of AI/ML concepts, particularly NLP and Large Language Models, demonstrated through academic projects, internships, or personal repositories
- The ability to explain technical concepts to non-technical partners and a clear, curiosity-driven communication style
- Experience using GitHub for version control and familiarity with LLM APIs or open-source frameworks for project-based applications
- A strong work ethic and the initiative to solve problems and debug code independently while remaining open to feedback and evolving project requirements
Required Skills: Python, SQL, AI/ML Foundations
Important Skills: GitHub
Benefits: Flexible time off, Wellness resources, Company-sponsored team events
Benefits
Flexible time off
Wellness resources
Company-sponsored team events