Internship

Data Science/ Computer Science Intern

Masters

Posted on 9/24/2024

Marvell

Marvell

5,001-10,000 employees

Develops semiconductor solutions for data infrastructure

Data & Analytics
Hardware

Compensation Overview

$22 - $45Hourly

Santa Clara, CA, USA

Hybrid work model; requires on-site presence.

Category
Data Science
Data & Analytics
Required Skills
Python
Data Science
Tensorflow
R
Git
Pytorch
Java
Data Analysis
Requirements
  • Currently pursuing a degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
  • Proficiency in programming languages such as Python, R, or Java.
  • Solid understanding of machine learning concepts, algorithms, and frameworks (e.g., TensorFlow, PyTorch).
  • Prior exposure to data analysis, statistical modeling, and experimental design.
  • Knowledge of software development best practices, including version control (e.g., Git).
  • Strong problem-solving skills and ability to work in a collaborative team environment.
Responsibilities
  • Assist in the design/architecture and development of AI applications, models and frameworks for real-world applications.
  • Conduct research and experiments on new AI algorithms, models, and architectures.
  • Implement and optimize machine learning algorithms and workflows for performance and scalability.
  • Develop prototypes and proof-of-concept implementations for novel AI frameworks.
  • Analyze and benchmark the performance of existing AI models and propose enhancements.
  • Assist in the integration of new AI systems into larger platforms and applications.
  • Collaborate with data engineers and software developers to create end-to-end data pipelines and model deployment strategies.
  • Stay up-to-date with the latest advancements in AI and machine learning technologies and apply them to ongoing projects.

Marvell Technology, Inc. specializes in semiconductor solutions that support data infrastructure for various industries, including telecommunications, data centers, and enterprises. Their products focus on high-performance computing, storage, and networking, which are essential for handling the increasing demands of mobile data and the shift to 5G networks. Marvell's offerings include advanced semiconductor products that facilitate efficient and secure data transmission, processing, and storage. Unlike many competitors, Marvell emphasizes programmable and scalable platforms that help telecommunications operators enhance their network capabilities while managing costs effectively. The company's goal is to be a key partner in the development of global data infrastructure, particularly as businesses transition to more advanced technologies.

Company Stage

IPO

Total Funding

N/A

Headquarters

Santa Clara, California

Founded

1995

Growth & Insights
Headcount

6 month growth

-11%

1 year growth

0%

2 year growth

-11%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing AI semiconductor demand boosts Marvell's innovation and market opportunities.
  • Energy-efficient data centers align with Marvell's low-power optical module advancements.
  • 5G adoption increases demand for Marvell's high-performance networking solutions.

What critics are saying

  • Competition from smaller AI chip makers threatens Marvell's market position.
  • Leadership instability risk as CEO Matt Murphy considered for Intel's CEO role.
  • Dependence on AWS partnership poses risk if relationship changes.

What makes Marvell unique

  • Marvell leads in 3nm PAM4 DSP technology, enhancing AI data center efficiency.
  • Expanded AWS partnership strengthens Marvell's position in cloud-based semiconductor solutions.
  • Marvell's scalable platforms support 5G infrastructure, meeting high-performance networking demands.

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