About the role#
The Machine Learning Platform team builds and runs the infrastructure that powers large-scale AI workloads. You will work at the intersection of AI/ML and systems engineering to improve the performance, efficiency, and operation of these platforms. This role focuses on supporting model training, deployment, and monitoring across distributed computing environments.
What you'll do#
- Monitor and analyze AI platform performance across distributed computing environments.
- Identify ways to optimize machine learning training and inference workloads.
- Support GPU cluster and cloud infrastructure capacity planning and resource management.
- Evaluate model deployment performance, including latency, throughput, and scalability metrics.
- Troubleshoot system performance issues and infrastructure challenges that impact 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.
What you'll need#
- Currently pursuing a Bachelor’s or Master's degree in Computer Science, Computer Engineering, or a related technical field.
- Expected graduation date between Fall 2027 and Summer 2028.
- Proficiency in Python for data manipulation and analysis.
- Knowledge of GPU computing, CUDA programming, networking, and distributed systems.
- Familiarity with cloud platforms like AWS, GCP, or Azure and containerization tools such as Docker and Kubernetes.
- Understanding of system monitoring, logging, and performance analysis.
- Experience with machine learning workflows, model deployment, and lifecycle management.
- Strong analytical, problem-solving, and communication skills.
- Eligibility to access export-controlled information.
Location & details#
- Location: Santa Clara, California
- Term: Summer 2027
- Modality: On-site
- Position type: Full-time internship
- Compensation: Paid ($29 - $57 per hour)
About Marvell Technology
Marvell Technology is a semiconductor manufacturing company based in Santa Clara, California. It provides hardware solutions for cloud infrastructure, data centers, and enterprise systems. The company employs over 11,000 people across global offices. Its technical focus includes wireless and wireline connectivity, storage, and consumer electronics.
How to get in at Marvell Technology
Applying early for an internship at Marvell Technology provides a distinct advantage, as recruiters often review candidates before the applicant pool becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first and get seen before the pile grows. Reaching out to the right person can also help you stand out from the crowd. Intern Insider surfaces the recruiters behind the company roles so you can reach out directly to ask about the position or a referral, which materially improves response rates.
