Research Intern For Supernode Solution

Intel Corporation

Shanghai, China
Not specified; not specified; not specified
On-site
Master's student in engineering or cs
Familiarity with core rdma operations
Hands-on experience with mellanox connectx-7 tools
Intel Corporation is seeking a passionate and self-motivated Research Intern in Shanghai, China, to work on innovative solutions for Scale-up Protocols and Memory Pooling in KV Cache-Centric Systems. The ideal candidate should be a Master's student in relevant fields with hands-on experience in GPU interconnect protocols and benchmarking methodologies

Job Summary

  • Intel DCG China is seeking a Research Intern to explore architectural innovations for disaggregated AI supernode designs.
  • The role involves researching and prototyping Ethernet-native GPU interconnect protocols and distributed memory pooling mechanisms.
  • Candidates must have hands-on experience with Mellanox ConnectX-7 testing tools and knowledge of LLM inference benchmarking methodologies.

Matching Summary

Match Score: 85

Intel Corporation is seeking a passionate and self-motivated Research Intern in Shanghai, China, to work on innovative solutions for Scale-up Protocols and Memory Pooling in KV Cache-Centric Systems. The ideal candidate should be a Master's student in relevant fields with hands-on experience in GPU interconnect protocols and benchmarking methodologies.

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • Master's student in Engineering or CS
  • Familiarity with core RDMA operations
  • Hands-on experience with Mellanox ConnectX-7 tools
  • Knowledge of LLM inference benchmarking metrics

Nice-to-have

  • Experience with vLLM or lm-evaluation-harness frameworks
  • Passionate and self-motivated attitude
  • Understanding of system-level performance trade-offs

Key Requirements

  • Master's degree in Electrical Engineering, Computer Engineering, or Computer Science
  • On-site presence required in Shanghai, China

Work Rights

Not specified

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