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

What You Can Expect

As a Generative AI Forward Deployed Engineer Intern with Marvell's Enterprise Business Applications team, you'll reinvent how a global enterprise runs — using Generative AI and multi-agent automation to make the core systems behind finance, supply chain, HR, and sales think and act for themselves. You'll work embedded with business and engineering teams, taking solutions from prototype to production.

• Build multi-agent GenAI systems that automate core business processes end-to-end across ERP, CRM, and beyond.
• Design solutions using LLMs, agentic protocols (MCP, A2A), and RAG over real enterprise data.
• Apply reasoning, planning, tool-use, and orchestration to make business systems act autonomously.
• Partner with business teams to find the highest-impact opportunities and turn them into shipped AI solutions.
• Research and benchmark state-of-the-art agent frameworks (LangChain, LangGraph, AutoGen, CrewAI, LlamaIndex).
• Prototype ambitious ideas and take the best ones to production at enterprise scale.
• Integrate intelligent agents securely into the systems that run the company.
• Measure real business impact — and push the boundary of what automation can own.

What We're Looking For

• Currently pursuing a B.Tech, M.Tech, or Dual Degree in Computer Science, Data Science, AI/ML, Mathematics, or a related field.
• Strong programming skills in Python (familiarity with R or Java is a plus).
• Solid understanding of machine learning concepts, algorithms, and frameworks (e.g., PyTorch, TensorFlow).
• Exposure to LLMs, Generative AI, or agentic frameworks through coursework, projects, or research.
• Familiarity with software engineering best practices, including version control (Git).
• Strong problem-solving skills and the ability to work in a collaborative, fast-moving team.
• A self-starter who can learn from research papers, implement them effectively, and drive projects to completion.

• Familiarity with enterprise systems or business-process automation.
• Hands-on experience with RAG, agent orchestration, or agentic protocols (MCP, A2A).
• Exposure to cloud (AWS), APIs, and integration patterns.

• The chance to work on real, production-bound GenAI and agentic solutions — not throwaway prototypes.
• Hands-on experience across the full lifecycle — research, build, and deploy — in a professional environment.
• Exposure to state-of-the-art AI frameworks, architectures, and models.
• Mentorship from experienced AI engineers and the opportunity to make a visible business impact.

Additional Compensation and Benefit Elements

With competitive compensation and great benefits, you will enjoy our workstyle within an environment of shared collaboration, transparency, and inclusivity. We’re dedicated to giving our people the tools and resources they need to succeed in doing work that matters, and to grow and develop with us. For additional information on what it’s like to work at Marvell, visit our Careers page.

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.

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.