Architecture Intern, MS - Summer 2027
About The Position
Marvell's semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities. At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead. 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
