Solutions Architecture Intern - PhD

Marvell Technology • Santa Clara, CA

101d • $27 - $55

About The Position

We are seeking talented and motivated graduate pursuing master’s or PhD in Computer Science or related field to join our team as a Solutions Intern focused on driving innovation aligning technology to create state of the art solutions to solve customer needs. This role will contribute to the development of novel solutions to accelerate hyperscale AI applications involving billion scale datasets in a heterogenous compute environment powered by Marvell Products and IPs. You will get hands-on experience with hyperscale workloads such as Vector and Graph Databases, KV Caches, Ranking and Recommendation Systems, Large Language Models, Retrieval-Augmented Generation accelerated by a broad range of custom compute, connectivity, storage, security technologies. You will have a unique opportunity to work closely with architects and technologists to influence research and development in cutting-edge forward-looking technologies in the accelerated compute, networking, storage, and security domains, such as CXL and other emerging low-latency transport protocols, AI/ML, Post Quantum Cryptography, etc.

Requirements

• Must be currently pursuing Masters or PhD. in Computer Science, Electrical Engineering, Data Science, or other related fields.
• Proficiency in performance benchmarking of AI data processing workloads, system profiling and analyzing end-to-end flows.
• Experience in accelerated compute for AI workloads esp. vector and graph databases or similar big data applications.
• Python and experience with data analysis libraries (e.g., pandas, NumPy).
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and interest in generative AI.
• Strong analytical skills with attention to detail and ability to work independently on complex problems.

Responsibilities

• System architectural design and implementation of specific proof of concepts, involving diverse workloads for optimal execution in distributed heterogeneous memory, compute, and storage environments.
• Advanced benchmarking, characterization, and performance analysis of complex workloads by monitoring metrics such as response times, latency, resource utilization, etc.
• Work closely with experienced hardware and software architects, data scientists and system engineers.
• Development of simulation environments of large-scale setups and configurations e.g., in the AI/ML domain.
• Close collaboration with focused teams on various tasks including troubleshooting, diagnosing, and resolving performance issues.

Benefits

• Medical, dental and vision coverage.
• Perks and discount programs.
• Wellness & mental health support including coaching and therapy.
• Paid holidays.
• Paid volunteer days.
• Paid sick time.
• Additional compensation may be available for intern PhD candidates.

What This Job Offers

• Career Level: Intern
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees