AI Engineering Intern, Pure Storage
Supply Chain Operations
The hourly pay range is: $30 - $35 USD
Office located in Santa Clara, CA
Data storage company
Job no longer available
Data storage company
1001+ employees
Job no longer available
The hourly pay range is: $30 - $35 USD
Office located in Santa Clara, CA
1001+ employees
Company mission
To redefine the storage experience and empower innovators by simplifying how people consume and interact with data.
Role
Who you are
- Availability and Enrollment: 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
- Core Programming Skills: Proficiency in Python and experience working with data through SQL, APIs, or data processing tools
- AI/ML Foundations: A foundational understanding of AI/ML concepts, particularly NLP and Large Language Models, demonstrated through academic projects, internships, or personal repositories
- Technical Communication: The ability to explain technical concepts to non-technical partners and a clear, curiosity-driven communication style
- Development Best Practices: Experience using GitHub for version control and familiarity with LLM APIs or open-source frameworks for project-based applications
- Ownership and Adaptability: A strong work ethic and the initiative to solve problems and debug code independently while remaining open to feedback and evolving project requirements
What the job involves
- Our Global Supply Chain Operations team spans technical operations, manufacturing, product supply, service logistics, and facilities
- What makes the team special is the people: we build close-knit partnerships, come together a couple of times each year for team events, and work hard to make sure employees enjoy coming to work and have fun along the way
- As a Supply Chain Operations Intern, you’ll take on a high-impact project that helps shape the future of the organization
- You’ll collaborate closely with experienced mentors and cross-functional teams to solve complex challenges, build practical skills, and deliver work that makes a real difference
- Interns will be matched to one opportunity based on interest and team needs—please indicate your top 1–2 areas of interest when applying
- As an AI Engineering Intern within the Ops Business Intelligence team, you will transform cutting-edge LLM technology into practical tools for global supply chain efficiency
- You will lead the development of OpsBot, a functional AI prototype designed to automate decision-making across manufacturing and logistics workflows
- Working alongside a diverse team of technical developers and business experts, your mission is to prove the tangible value of generative AI in a high-tech operational environment
- 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
Our take
Named one of the top 50 Hottest Edge Hardware, Software, and Services Companies of 2022, Pure Storage is a data storage company that helps tech and software businesses leverage the continuous innovations of AI and machine learning through its storage solutions. From Roblox to NASA, many of Pure Storage’s customers are leaders in their fields.
After seeing rapid revenue growth in the early 2010s despite overall losses, Pure Storage’s 2015 IPO benefitted the company over the next half-decade, spreading losses with public trade. The risk especially paid off when many companies migrated to cloud services in the 2020s.
As data centers flew into the crosshairs of sustainable energy efforts, Pure Storage has remained on the right side of publicity through its Evergreen // One portfolio, a flexible consumption-based storage model for providers. In January 2023, Pure Storage reported continued subscription growth for this model and should continue on track as its hefty and influential client list evolves to meet sustainability goals.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
19% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Apr 2014
$225m
SERIES F
Aug 2013
$150m
SERIES E
Total funding: $474.9m
Company HQ
Santa Clara, CA
Leadership
John Colgrove
(CTO)Previously EIR at Sutter Hill Ventures, Fellow at Symantec Software, and Engineer at Amdahl.
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