Research Intern (PhD), AI-Scale Protocols & Simulation
Marvell Technology, Inc.Match Score
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Job Description
Structured overview of role & requirementsAbout This Role
Investigate and simulate scale-up and scale-out AI network protocols under real AI workloads to study performance, scalability, and congestion.
Extend and experiment with simulation platforms (e.g., Astra-Sim, Chakra, htsim) for modeling AI-scale networking and congestion-control behavior.
Correlate simulation outcomes with architectural and hardware data to uncover insights that inform next-generation silicon and datacenter networking.
Minimum Requirements
Currently enrolled in a PhD, MS by Research, or MTech by Research program in Computer Science, Computer Engineering, Electronics, Electrical Engineering, or related field.
Strong fundamentals in computer networks, transport protocols, and distributed systems mandatory.
Proficient in C++ and Python programming.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Demonstrated capability or strong interest in large-scale simulation frameworks and next-generation datacenter networking protocols.
Experience or strong understanding of scale-up/scale-out fabrics, RDMA, congestion control concepts; or eagerness to deepen expertise in these areas.
Ability to translate research simulation results into practical hardware and system insights, working closely with senior architects and researchers.