9 days ago
Santa Clara, CA, USAIntern
H1B sponsor
Responsibilities
- Monitor and analyze AI platform performance across distributed computing environments.
- Identify opportunities to optimize machine learning training and inference workloads.
- Support GPU cluster and cloud infrastructure capacity planning and resource management.
- Evaluate model deployment latency, throughput, and scalability.
- Troubleshoot system performance and infrastructure issues affecting ML workloads.
- Collaborate with engineering teams to improve AI infrastructure and platform efficiency.
- Enhance data pipeline and storage performance for large-scale machine learning applications.
Requirements
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field, with expected graduation between Fall 2027 and Summer 2028.
- Proficiency in Python for manipulation and analysis.
- Knowledge of GPU computing, CUDA programming, networking fundamentals, and distributed systems concepts.
- Familiarity with AWS, GCP, Azure, Docker, Kubernetes, and distributed computing environments.
- Understanding of system monitoring, logging, and performance analysis concepts.
- Experience with data analysis and visualization, plus strong analytical and problem-solving skills.
- Exposure to machine learning workflows, model deployment, and lifecycle management.
- Strong written and verbal communication skills with the ability to present technical findings to diverse stakeholders.
Benefits
- Medical, dental, and vision coverage for interns.
- Perks and discounts, mental health resources, and paid holidays.
- Additional compensation may be available for intern PhD candidates.
Categories
About Marvell
Marvell designs and sells semiconductors for data infrastructure, including Ethernet switching and PHYs, optical and 5G connectivity, storage controllers, and custom compute silicon (ASICs/DPUs) used by cloud providers, telecom carriers, and enterprise OEMs. Its business model centers on selling chips and platform solutions and co-developing custom silicon with major customers. Founded in 1995 and headquartered in Santa Clara, it is a public company traded on NASDAQ (MRVL).