Intern, Software Engineer

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.

• Work with next-gen memory and interconnect technologies like CXL and UALink to move, pool, and manage data across the system efficiently
• Model and simulate advanced AI workloads at scale (many-accelerator training and inference across memory and fabrics) to surface non-obvious protocol insights and IP
• Build virtual platforms and device models (QEMU-based full-system emulation and discrete-event fabric models) to validate software and silicon before hardware exists
• Build and run containerized AI workloads on Kubernetes: device plugins, resource scheduling (DRA), operators, scaling, and reliability
• Engage the research frontier: read and digest the latest papers, contribute to open standards (CXL/UALink, Kubernetes, Linux), and help write research papers and deliver industry talks
• AI-assisted engineering: work fluently with AI tools to tackle harder problems

• Bachelor's or Master's in Computer Science, Electronics, Electrical Engineering, or a related field (or equivalent experience)
• Fluent with AI coding tools like Claude Code and Cursor, or quick to pick them up, using them to digest specs and unfamiliar source quickly
• Strong fundamentals in data structures, algorithms, operating systems, and distributed systems
• Programming in one or more of C++, Python, or Go