Ph.D. Intern - AI/ML & Design Automation
About the role
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.
Marvell is building the silicon that makes AI possible — the custom XPUs, the 224G and 448G SerDes, the Silicon Photonics interconnects, the co-packaged optics platforms that hyperscalers depend on to train and deploy the world's most advanced models. Designing that silicon at the pace and complexity the AI era demands requires more than engineering talent. It requires intelligence applied to the design process itself. Marvell's AI and machine learning teams are working on exactly that — using AI to accelerate how silicon is designed, verified, and deployed, and building the enterprise AI infrastructure that makes Marvell's engineering organization faster and smarter at every level. This Ph.D. intern pool spans two distinct but connected tracks. The first is hardware-focused: applying ML and AI techniques directly to chip design challenges — EDA automation, design space exploration, predictive modeling for timing and power, and AI-driven approaches to physical design and verification at advanced process nodes. The second is enterprise-focused: building and deploying the internal AI tools and platforms — including large language model integrations, agentic workflows, and AI-assisted engineering systems — that Marvell's global engineering teams use every day. Both tracks sit at the frontier of what applied AI research looks like in a production semiconductor environment, and both are grounded in problems that do not yet have off-the-shelf solutions. Marvell's Ph.D. Intern Program places doctoral candidates directly inside