Research Intern (PhD), FPGA & Silicon Prototyping

Marvell is a global leader in high-performance silicon and AI infrastructure, powering the worlds most advanced datacenters, cloud platforms, 5G networks, and AI/ML workloads. Our innovations drive next-generation computing, networking, and storage - enabling breakthrough performance, scalability, and efficiency for the most demanding applications.

Why This Internship

Engage with open research problems at the frontier of AI systems - challenges that require access to real silicon, large-scale infrastructure, and production data
Contribute to work intended for publication, with support for presenting results both internally and externally
Translate research outcomes into real products and next-generation silicon, extending impact beyond publication
Collaborate with and receive mentorship from senior architects and researchers who will help advance your ideas
Gain access to advanced infrastructure, tools, and pre-release hardware rarely available in academic settings
Pursue original, exploratory research directions - independent thinking is actively encouraged

• Design, implement, and test digital hardware on FPGA
• Build FPGA prototypes of protocols and system-level features
• Evaluate designs for performance, area, and timing against product targets
• Explore translating FPGA implementations into upcoming silicon products
• Collaborate with architects to refine and tune designs

• Strong fundamentals in digital design and computer architecture
• Hands-on FPGA experience (Verilog/SystemVerilog or VHDL)
• Understanding of hardware design flows (synthesis, timing, verification)
• Programming in C/C++ and Python

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