What You Can Expect
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 We're Looking For
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.
- Expected Base Pay Range (USD)
- 27 - 54, $ 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 Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life’s most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights for our interns: medical, dental, and vision coverage, perks and discounts, robust mental health resources to prioritize emotional well-being, and paid holidays. Additional compensation may be available for intern PhD candidates. We look forward to sharing more with you during the interview process.
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
To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.
These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.
This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.
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