Intern, Storage Product Planning Engineer

Please Note:

To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. 

Advancing the World’s Technology Together

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.

Location: Daily onsite presence at our San Jose headquarters in alignment with our Flexible Work policy

Reports to: VP, Technical Marketing

• 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.

What You Bring

• 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
• Preferred: Familiarity with AI infrastructure (GPU clusters, RDMA, NVMe-oF, CXL)
• Preferred: Experience preparing technical presentations or strategy reports
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

What We Offer
The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience.

This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usua