Next-Gen AI Systems & Infrastructure Research Intern - PhD

This team engineers core technologies for scalable, high-performance AI systems, focusing on redefining system architectures, autonomous self-management, advanced system fabrics, and hardware-software co-design for next-generation AI platforms. The intern will explore areas like AI system-level modeling, agentic architectures, high-performance networking, memory disaggregation, and protocol acceleration unit design, collaborating with senior architects to prototype and evaluate new system designs.

Must Have

• Enrolled in a PhD or MS by Research program in Computer Science, Computer Engineering, Electrical Engineering, or related fields
• Strong fundamentals in computer architecture, systems, or distributed computing
• Experience in system/architecture modeling or analysis, networking, interconnects, system fabrics, AI/ML systems or platforms, hardware–software co-design or FPGA prototyping
• Proficiency in C/C++, Python, or similar languages
• Ability to generate ideas, run experiments, and communicate results clearly

Good to Have

• Exposure to large-scale computing or cluster systems
• Experience with simulators, profiling tools, or performance analysis
• Interest in architectural innovation or next-generation data movement

Perks & Benefits

• Competitive compensation
• Great benefits
• Workstyle within an environment of shared collaboration, transparency, and inclusivity
• Tools and resources to succeed
• Opportunities to grow and develop

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

We engineer the core technologies behind scalable, high-performance AI systems — redefining system architectures, autonomous self-management, advanced system fabrics, and hardware–software co-design for next-generation AI platforms.

What You Can Expect

You will explore one or more of the following areas:

• AI system-level modeling & simulation for scale-out platforms
• Agentic, autonomous, and self-configuring system architectures
• High-performance networking & transport innovations across AI compute fabrics
• Memory disaggregation & system-level fabric architectures for large AI systems
• Protocol acceleration unit design & architectural modeling

You will collaborate with senior architects to prototype ideas, evaluate performance, and shape emerging system designs.

What We're Looking For

• Enrolled in a PhD or MS by Research program in Computer Science, Computer Engineering, Electrical Engineering, or related fields
• Strong fundamentals in computer architecture, systems, or distributed computing
• Experience in one or more of the following (broad and flexible):
• System/architecture modeling or analysis
• Networking, interconnects, or system fabrics
• AI/ML systems or platforms
• Hardware–software co-design or FPGA prototyping
• Proficiency in C/C++, Python, or similar languages
• Ability to generate ideas, run experiments, and communicate results clearly

• Preferred (Optional) Background
• Exposure to large-scale computing or cluster systems
• Experience with simulators, profiling tools, or performance analysis
• Interest in architectural innovation or next-generation data movement

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

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, thought process, and communication skills in real-time. If a candidate uses such tools during an interview, they will be disqualified 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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