Overview
An internship in Marvell's software engineering team, working on next-gen memory and interconnect technologies, AI workload simulation, virtual platforms and containerized AI workloads on Kubernetes.
What you'll do
- Work with next-gen memory and interconnect technologies such as 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.
- Use AI-assisted engineering: work fluently with AI tools to tackle harder problems.
What you'll need
- 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.
- Familiarity with Linux, containers, and Kubernetes (or the eagerness to go deep, fast).
- Curious, fast-learning, and takes ownership, turning an ambiguous problem into a working, measured result.
- Clear written communicator.
Details
- Location: Hyderabad.
- Applicants must be eligible to access export-controlled information under applicable law; an export license review may apply to all applicants except U.S. citizens, lawful permanent residents, or protected individuals.
Read the full description and apply on the company’s own careers page.