Intern, Storage Product Planning Engineer
About The Position
Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities. What You’ll Learn Project Overview: Research emerging Agent AI trends and translating those insights into forward-looking storage strategy and product planning recommendations. Skills You'll Learn: Analyze AI infrastructure trends and AI agent-based architecture evolution Translate workload characteristics into storage performance and capacity requirements Develop technical strategy presentations for executive and cross-functional teams What You’ll Do Our team leads next-generation storage planning for AI infrastructure, collaborating closely with architecture, product development, and business strategy teams. As an intern, you will contribute directly to strategic initiatives that shape how storage enables large-scale AI systems. You will analyze how agentic workflows, memory extension models, retrieval-augmented generation (RAG), and large-scale inference architectures impact next-generation storage design.
Requirements
- Pursuing a Master’s or PhD in Computer Engineering, Computer Science, Electrical Engineering, or a related field
- Must have at least one academic semester/quarter remaining after internship completion
- Strong understanding of AI/ML fundamentals (LLMs, training vs inference, distributed systems)
- Basic knowledge of storage systems (NVMe, SSDs, networking, memory hierarchy)
- Analytical mindset with ability to synthesize technical research into structured insights
- Experience with data analysis, modeling, or technical research projects
- Strong written and verbal communication skills
Nice To Haves
- Familiarity with AI infrastructure (GPU clusters, RDMA, NVMe-oF, CXL)
- Experience preparing technical presentations or strategy reports
Responsibilities
- Research emerging Agent AI architectures and identify infrastructure implications
- Analyze storage requirements for LLM inference, RAG pipelines, and KV cache offloading
- Evaluate memory extension, disaggregated storage, and NVMe-over-Fabrics trends
- Build performance and power modeling assumptions for next-generation AI storage systems
- Collaborate with architecture and engineering teams to validate technical hypotheses
- Develop executive-ready presentations summarizing strategic findings
- Support competitive benchmarking of hyperscaler AI infrastructure approaches
- Complete other responsibilities as assigned.
Benefits
- Relocation Support Live 50+ miles away from your new office? No worries! We'll provide a stipend to help support your move.
- Housing Stipend Signing a lease on a new place for your summer internship? We'll help you pay your way with a monthly stipend.
- Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
- Prioritize Emotional Wellness With on-demand apps and paid therapy sessions, you’ll have support no matter where you are.
- Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
- Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.
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What This Job Offers
Career Level
Intern
