Research Intern (PhD), AI-Scale Protocols & Simulation

What You'll Do

• Investigate emerging scale-up and scale-out protocols and how they perform under real AI workloads Explore and extend simulation platforms to model networking and congestion-control behavior at scale Experiment with AI-scale and LLM-serving simulation, and workload/trace-driven modeling (e.g., Astra-Sim, Chakra, htsim) Study and evaluate protocol performance, scalability, and resilience across topologies Correlate simulation results with architectural and hardware behavior to uncover new insights What We're Looking For Eligibility: Enrolled in a PhD, MS by Research, or MTech by Research program in Computer Science, Computer Engineering, electronics or Electrical Engineering or a related field.
• Requirements Strong fundamentals in computer networks, transport protocols, and distributed systems Curiosity about large-scale simulation and a desire to work with frameworks such as Astra-Sim, Chakra, htsim, ns-3, gem5, or SST Understanding of scale-up/scale-out fabrics, RDMA, or congestion control — or eagerness to go deep Programming in C++ and Python Preferred: Interest in LLM-serving and AI-workload simulation, next-generation datacenter networking, protocol design, or large-scale performance analysis. 

 Additional Compensation and Benefit Elements With competitive compensation and great benefits, you will enjoy our workstyle within an environment of shared collaboration, transparency, and inclusivity.
• We’re dedicated to giving our people the tools and resources they need to succeed in doing work that matters, and to grow and develop with us.
• For additional information on what it’s like to work at Marvell, visit our Careers page.
• Interview Integrity To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.
• These tools must not be used to record, assist with, or enhance responses in any way.
• Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time.
• Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.
• This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR).
• As such, applicants must be eligible to access export-controlled information as defined under applicable law.
• Marvell may be required to obtain export licensing approval from the U.S.
• Department of Commerce and/or the U.S.
• Department of State.
• Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment. #LI-TT1