Marvell Technology Benefits Overview

Ph.D. interns apply machine learning and AI to semiconductor chip design or enterprise engineering tools. Responsibilities include developing ML models for EDA automation, placement, timing, power, and verification, or deploying LLM, RAG, and agentic systems. Interns will train, evaluate, and deploy models, conduct rigorous experiments, collaborate with engineering and technology stakeholders, assess production performance and safety, and present findings to leadership. The role requires doctoral research in AI, machine learning, computer science, electrical engineering, data science, or a related field.

Ph.D. interns design, simulate, characterize, and validate silicon photonics components, optical engines, and DSP algorithms for PAM4 and coherent optical transceivers. Responsibilities include optical system modeling, link budget analysis, lab testing, silicon bring-up, and collaboration with analog IC, packaging, and systems engineering teams. Interns present research findings and design results while contributing to production-scale optical communications solutions.

Lead transition and sustainment of silicon photonics and optical transceiver products from NPI to volume production. Collaborate with US and CM teams to improve yield, implement in-process controls, manage production risks, and perform failure analysis at chip/SiPho and optical subassembly levels while owning product lifecycle activities.