Cloud Platform Engineer Intern - Master's Degree

About Marvell

Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, 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

As a Cloud Engineering Intern, you will join our Global Enterprise Infrastructure team and play a vital role in shaping, developing, and optimizing both Cloud and On-Premises systems. This internship provides you with the opportunity to gain practical, hands-on experience in the areas of cloud infrastructure, automation, and DevOps practices. You will collaborate closely with senior engineers, contributing to meaningful projects that enhance operational efficiency and foster innovation throughout the organization.

What You Can Expect

• Contribute to cloud and on-premises infrastructure projects that improve performance, scalability, and efficiency.
• Work on containerization for High-Performance Computing (HPC) and related automation efforts.
• Help design workflows that integrate with CI/CD pipelines and enhance infrastructure automation.
• Support cloud cost optimization, monitoring, and alerting initiatives.
• Participate in code reviews, bug fixes, and performance improvement discussions.
• Document standard operating procedures (SOPs) and technical workflows for smooth operations.
• Research and experiment with emerging cloud and DevOps tools to enhance reliability and automation.

What We're Looking For

• Pursuing a Master's degree in Computer Science, Software Systems, or a related discipline.
• Strong programming skills in Python, Java, C++, Shell scripting, Go with familiarity in more language would complement.
• Familiarity with cloud fundamentals - virtualization, containers, and cloud deployment models (AWS, Azure, or GCP)
• Adaptable to work in Linux environments and familiar with basic networking concepts.
• Exposure to DevOps practices, CI/CD concepts, or Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible) through coursework or projects.
• Analytical mindset, curiosity to learn, and enthusiasm for building scalable, automated systems.

What You Will Gain

• Becoming part of a team that explores and implements state-of-the-art (SOTA) cloud infrastructure, architectures, concepts, and models.
• Hands-on experience in researching, developing, and deploying cloud environments.
• Exposure to Marvell’s global cloud and on-premises infrastructure, gaining valuable industry insights.
• Opportunities to independently design and contribute to innovative cloud solutions.
• Mentorship and guidance from field experts, supporting your professional growth and development.

Expected Base Pay Range (USD)

26 - 51, $ 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.

Interview Integrity
 

As part of our commitment to fair and authentic hiring practices, we ask that candidates do not use AI tools (e.g., transcription apps, real-time answer generators like ChatGPT, CoPilot, or note-taking bots) during interviews.
 
Our interviews are designed to assess your personal experience