Architecture Intern, MS - Summer 2027
Marvell Technology•Santa Clara, CA
•$31 - $62
About The Position
Join the architecture team within Marvell’s Custom Cloud Solutions group to help shape next-generation storage and memory architectures for AI data centers. Your work will influence how cutting-edge AI workloads access and process data at scale. Marvell is a leading supplier of storage and memory controller solutions for the AI data center. You’ll gain hands-on experience in cutting-edge AI infrastructure, collaborate with industry experts, and contribute to innovations shaping the future of data centers.
Requirements
- Currently pursuing a Master’s Degree in Electrical Engineering, Computer Engineering , or a related field with an expected graduation date between Fall 2027 – Summer 2028
- Coursework or research experience in computer architecture, hardware design, programming, and modeling techniques
- Understanding of AI training and inference algorithms, including large language models and transformer architectures
- Strong analytical and problem-solving skills
- Ability to work collaboratively in dynamic environments
- Excellent verbal and written communication skills
- Passion for learning and working in a fast-paced environment
Nice To Haves
- Knowledge of system architectures for data centers and AI workloads
- Familiarity with modern interconnects (PCIe, NVMe, CXL), memory/storage technologies (NAND, DRAM, SSDs), and processor architectures (CPUs and GPUs)
- Strong programming skills in C, C++ or Python
- Experience with performance analysis tools or architectural simulators
Responsibilities
- Gain a deep understanding of storage and memory systems in the AI data center
- Research the role of data storage and memory devices in AI data processing pipelines
- Explore how storage and memory hierarchies impact large-scale AI training and inference
- Collaborate with engineers and architects to define system and chip architectures for AI storage and memory solutions
- Develop performance models for simulations using C/C++ or Python to evaluate architectural trade-offs
- Analyze chip and system architectures based on performance, latency, and cost metrics
- Identify optimal hardware/software partitioning for future storage and memory controllers
- Prepare architecture presentations and specifications; present findings to the team
- Work with cross-functional teams to share insights and leverage capabilities
Benefits
- medical, dental, and vision coverage
- perks and discounts
- robust mental health resources to prioritize emotional well-being
- paid holidays
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What This Job Offers
Career Level
Intern
