New

AI Solution Analyst Intern - Ph. D

Marvell Semiconductor, Inc.
paid holidays, sick time
United States, California, Santa Clara
5488 Marvell Lane (Show on map)
Mar 03, 2025
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 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. What You Can Expect . 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. What We're Looking For Qualifications 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. Expected Base Pay Range (USD) 29 - 57, $ 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, perks and discount programs, wellness & mental health support including coaching and therapy, paid holidays, paid volunteer days and paid sick time. Additional compensation may be available for intern PhD candidates. 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. #LI-SC1