What You Can Expect
Focus: Explore how tomorrow's AI networks will behave at scale — using simulation to study scale-up and scale-out protocols, congestion, and the interplay between workloads, fabrics, and hardware before they ever reach silicon.
Key Responsibilities
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.
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- 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.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
