Research Intern (PhD), Storage Systems For AI

Apply via the Marvell Workday careers page in the application link (req 2604256).Marvell Hyderabad Research Intern (PhD-track) focused on next-generation storage and memory systems for AI — NVMe, SPDK, memory tiering/disaggregation and near-data computing. Eligibility: enrolled PhD, MS-by-Research or MTech-by-Research. Stipend not posted — ₹50k–1L/month market estimate.ResponsibilitiesExplore next-gen storage and memory architectures for AI/ML workloads.Work with NVMe and storage software stacks (e.g., SPDK) for high-performance data access.Investigate memory/storage tiering and disaggregation for large-scale AI systems.Prototype near-storage techniques (quantization, compression, predictive caching, migration).RequirementsEnrolled in PhD, MS by Research, or MTech by Research in CS/CE/EE/Robotics or related.Strong fundamentals in computer architecture, storage systems and OS.Familiarity with NVMe/SPDK/SSDs/memory hierarchies; understanding of ML data pipelines.Programming in C/C++ and Python.BenefitsResearch intended for publication with path into real products/silicon.Mentorship and access to advanced Marvell infrastructure.