Research Intern (PhD), Storage Systems for AI
Marvell Technology, Inc.Match Score
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Job Description
Structured overview of role & requirementsAbout This Role
Research and prototype next-generation storage and memory architectures specifically optimized for AI/ML workloads.
Work hands-on with NVMe, storage software stacks like SPDK, and explore innovations in memory tiering, disaggregation, and near-data computing.
Evaluate storage solutions for performance, scalability, and efficiency, with an aim to contribute to published research and real product development.
Minimum Requirements
Currently enrolled in a PhD, MS by Research, or MTech by Research program in Computer Science, Computer Engineering, Electronics, Electrical Engineering, Robotics, or related field.
Strong fundamentals in computer architecture, storage systems, and operating systems.
Proficiency in C/C++ and Python programming languages.
Familiarity with storage technologies such as NVMe, SPDK, SSDs, and memory hierarchies.
Ideal Candidate Profile
Experienced or interested in AI/ML workloads related to storage and memory system design and optimization.
Comfortable working with large-scale infrastructure and accessing real silicon and production data for research.
Able to independently pursue exploratory research and translate findings into practical silicon product innovations.