AI-Native Development Platform Engineer Intern, MS - Summer 2027

Marvell

Hours: Full time
Where: Santa Clara, CA
Posted: 6 days ago

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

The Engineering Applications team in Marvell IT builds and runs the platforms Marvell's engineers use every day — DevOps and CI/CD infrastructure, custom engineering applications, and the AI layer that ties them together.

What you'd do

Build and ship one feature end-to-end on our agentic AI platform for the software development lifecycle, from design through production deployment.
Develop integrations and MCP-based tooling that connect AI agents to real engineering systems such as Jira, GitHub, Jenkins, Confluence and AWS.
Automate build, test and deployment workflows using CI/CD pipelines (GitHub Actions, Jenkins) and containerized deployments on Kubernetes/EKS.
Write and review code alongside senior engineers using AI-assisted development tools including Cursor and Claude Code, held to the team's normal quality and review standards.
Instrument and measure the impact of what you build — adoption, performance and engineering time saved — and present the results back to the team.
Collaborate with engineers, program managers and IT partners to scope the project, gather requirements and pilot the feature with real users.

What they want

Currently pursuing a Bachelor's or Master's Degree in Computer Science, Computer Engineering, Software Engineering or a related field with an expected graduation date between Fall 2027 – Summer 2028
Proficiency in at least one modern programming language such as Python, C#, Java or TypeScript/JavaScript, with the ability to write and debug production-quality code.
Working knowledge of Linux and Git-based version control, including branching, pull requests and code review workflows.
Familiarity with CI/CD concepts and tools (GitHub Actions, Jenkins or similar) and with containerization using Docker or Kubernetes.
Hands-on exposure to LLM or agentic AI development — prompt design, model APIs/SDKs, retrieval-augmented generation, or AI-assisted coding tools such as Cursor, Claude Code or Copilot.
Demonstrated ability to take an ambiguous problem to a working result independently, communicate progress clearly and present technical outcomes to an audience.
Preferred: Experience building REST APIs or system integrations against tools such as Jira, GitHub, Jenkins, Confluence or ServiceNow.
Preferred: Exposure to cloud platforms (AWS, Azure or GCP) and to deployment tooling such as Helm, Argo CD or Terraform.
Preferred: Familiarity with Model Context Protocol (MCP), agent orchestration frameworks such as LangGraph, or multi-agent workflow design.
Preferred: Experience with relational databases (SQL Server, MySQL or PostgreSQL) and with front-end frameworks such as React.

Starts: 2026-09-29