Storage Memory Architecture Intern

About Marvell

Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, automotive, 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. 

Your Team, Your Impact

The Storage Memory Architecture team in Marvell is looking for a summer intern. Marvell is the industry's leading supplier of storage and memory controller solutions for the data center. The intern will join a team of experts in researching new architectures and modeling techniques for storage and memory systems using the NVMe or CXL host protocols. The ideal candidate will have prior experience in at least one of these subjects: SSDs, PCIe, NVMe, CXL, NAND flash, DRAM memories, storage architectures, memory systems, and performance modeling.

What You Can Expect

• Understand DRAM, NAND, and SSD technologies.
• Understand storage and memory systems in the data center.
• Develop storage and memory system architectures using C, C++, or Python.
• Develop performance and latency models.
• Evaluate architectures based on performance, latency, and cost metrics.
• Exercise architecture models using read and write workloads.
• Write architecture presentations and specifications.

What We're Looking For

• Candidate MUST be currently pursuing a MS or PhD degree in Electrical Engineering, Computer Engineering, Computer Science, or related technical fields.
• Previous experience in industry is not required.

Preferred Qualifications:

• Courses and research experience related to computer architecture, hardware design, programming, modeling techniques.
• Prior experience with at least one of these storage and memory technologies: PCIe, NVMe, CXL, NAND flash, DRAM, SSDs, ARM or RISC-V CPUs.
• Strong analytical and problem-solving skills.
• Good verbal and written communication skills.
• Strong programming skills in C/C++ and Python.
• Experience in modeling chip and system architectures.
• Experience in machine learning algorithms is a plus.

Expected Base Pay Range (USD)

27 - 54, $ per hour.

The successful candidate’s starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions.

Additional Compensation and Benefit Elements 

For Internship roles, we are proud to offer the following benefits package during the internship - medical, dental and vision coverage or opt-out credit, perks and discount programs, virtual fitness subsidy, wellness & mental health support including coaching and therapy, paid holidays, paid volunteer days and paid sick time. Additional compensation maybe available for intern PhD candidates.

This role is eligible for our hybrid work model in which you will be able to split time between working from home and on-site in a Marvell office.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at TAOps@marvell.com.