Architecture Intern, MS - Summer 2027
Sign up free to see how well your resume matches this role.
What you'll do
- Gain a deep understanding of storage and memory systems in the AI data center
- Research the role of data storage and memory devices in AI data processing pipelines
- Explore how storage and memory hierarchies impact large-scale AI training and inference
- Collaborate with engineers and architects to define system and chip architectures for AI storage and memory solutions
- Develop performance models for simulations using C/C++ or Python to evaluate architectural trade-offs.
- Analyze chip and system architectures based on 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
- Work with cross-functional teams to share insights and leverage capabilities
What they're looking for
- Currently pursuing a Master’s Degree in Electrical Engineering, Computer Engineering , or a related field with an expected graduation date between Fall 2027 – Summer 2028
- Coursework or research experience in computer architecture, hardware design, programming, and modeling techniques
- Understanding of AI training and inference algorithms, including large language models and transformer architectures
- Strong analytical and problem-solving skills
- Ability to work collaboratively in dynamic environments
- Excellent verbal and written communication skills
- Passion for learning and working in a fast-paced environment
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 and GPUs)
- Strong programming skills in C, C++ or Python
- Experience with performance analysis tools or architectural simulators
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
About Marvell
Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, 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
Group DescriptionJoin the architecture team within Marvell’s Custom Cloud Solutions group to help shape next-generation storage and memory architectures for AI data centers. Your work will influence how cutting-edge AI workloads access and process data at scale. Marvell is a leading supplier of storage and memory controller solutions for the AI data center. You’ll gain hands-on experience in cutting-edge AI infrastructure, collaborate with industry experts, and contribute to innovations shaping the future of data centers.
What You Can Expect
· Gain a deep understanding of storage and memory systems in the AI data center
· Research the role of data storage and memory devices in AI data processing pipelines
· Explore how storage and memory hierarchies impact large-scale AI training and inference
· Collaborate with engineers and architects to define system and chip architectures for AI storage and memory solutions
· Develop performance models for simulations using C/C++ or Python to evaluate architectural trade-offs.
· Analyze chip and system architectures based on 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
· Work with cross-functional teams to share insights and leverage capabilities
What We're Looking For
· Currently pursuing a Master’s Degree in Electrical Engineering, Computer Engineering, or a related field with an expected graduation date between Fall 2027 – Summer 2028
· Coursework or research experience in computer architecture, hardware design, programming, and modeling techniques
· Understanding of AI training and inference algorithms, including large language models and transformer architectures
· Strong analytical and problem-solving skills
· Ability to work collaboratively in dynamic environments
· Excellent verbal and written communication skills
· Passion for learning and working in a fast-paced environment
Preferred Qualifications:
· 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 and GPUs)
· Strong programming skills in C, C++ or Python
· Experience with performance analysis tools or architectural simulators
Expected Base Pay Range (USD)
31 - 62, $ 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
Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life’s most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights for our interns: medical, dental, and vision coverage, perks and discounts, robust mental health resources to prioritize emotional well-being, and paid holidays. Additional compensation may be available for intern PhD candidates. We look forward to sharing more with you during the interview process.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.
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-TT1Company
Company facts come from this company's own listings. We only show what the postings themselves carry.