Architecture Intern (MS) - Summer 2027
Marvell TechnologyJob Title
Architecture Intern (MS) - Summer 2027
Role Summary
Join Marvell's Custom Cloud Solutions architecture team to help define next-generation storage and memory architectures for AI data centers. The intern will research system- and chip-level approaches, develop performance models, and evaluate architectural trade-offs for large-scale AI workloads.
Experience Level
Entry-level internship for Master's students (student status required; see Education Requirements for expected graduation window).
Responsibilities
Primary responsibilities include research, modeling, analysis, and cross-team collaboration to inform architecture decisions.
- Research the role of storage and memory devices in AI training and inference pipelines.
- Develop performance models and simulations using C/C++ or Python to evaluate architectural trade-offs.
- Analyze chip and system architectures for 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.
- Collaborate with cross-functional teams to share insights and leverage capabilities.
Requirements
Core qualifications and skills required or preferred for the role.
- Coursework or research experience in computer architecture, hardware design, programming, or modeling techniques.
- Understanding of AI training and inference algorithms, including large language models and transformer architectures.
- Strong analytical and problem-solving skills, with effective verbal and written communication.
- Ability to work collaboratively in dynamic, fast-paced environments.
Preferred (nice-to-have):
- 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, GPUs).
- Strong programming skills in C, C++ or Python.
- Experience with performance analysis tools or architectural simulators.
Education Requirements
Currently pursuing a Master’s degree in Electrical Engineering, Computer Engineering, or a related technical field with expected graduation between Fall 2027 and Summer 2028. PhD candidates may be considered and may receive additional compensation.
About the Company
Company: Marvell Technology
Headquarters: Santa Clara, California, United States
Marvell’s semiconductor solutions serve as essential building blocks of the data infrastructure connecting our world, driving innovation across enterprise, cloud, AI, and carrier architectures. The company focuses on creating transformative technology that shapes the future.
