Research Intern (PhD), Storage Systems for AI

What You'll Do

• Explore 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 Explore computational/near-storage techniques — quantization, compression, predictive caching, and data migration Prototype and evaluate storage architectures for performance, scalability, and efficiency What We're Looking For Eligibility: Enrolled in a PhD, MS by Research, or MTech by Research program in Computer Science, Computer Engineering, electronics or Electrical Engineering, Robotics or a related field.
• Requirements Strong fundamentals in computer architecture, storage systems, and operating systems Familiarity with storage technologies and stacks (NVMe, SPDK, SSDs, memory hierarchies) Understanding of ML data pipelines or workload characteristics Programming in C/C++ and Python Preferred: Exposure to memory disaggregation, storage tiering, near-data computing, or high-performance I/O. 

 Additional Compensation and Benefit Elements With competitive compensation and great benefits, you will enjoy our workstyle within an environment of shared collaboration, transparency, and inclusivity.
• We’re dedicated to giving our people the tools and resources they need to succeed in doing work that matters, and to grow and develop with us.
• For additional information on what it’s like to work at Marvell, visit our Careers page.
• Interview Integrity To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.
• These tools must not be used to record, assist with, or enhance responses in any way.
• Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time.
• Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.
• This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR).
• As such, applicants must be eligible to access export-controlled information as defined under applicable law.
• Marvell may be required to obtain export licensing approval from the U.S.
• Department of Commerce and/or the U.S.
• Department of State.
• Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment. #LI-TT1