Marvell Technology is a leading semiconductor solutions provider focused on data infrastructure across various domains. They are seeking a Solutions Architecture Intern to contribute to the development of innovative solutions for hyperscale AI applications, gaining hands-on experience with large datasets and advanced benchmarking.
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
Qualification
Required
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
Preferred
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.
We believe that infrastructure powers progress. That execution is as essential as innovation. That better collaboration builds better technology.