Research Intern For Supernode Solution

Intel

Shanghai, PRC
On-site
Master's student in electrical engineering or computer science
Familiarity with core rdma operations including one-sided read/write
Hands-on experience with mellanox connectx-7 testing tools
Intel is seeking a Research Intern for their Shanghai location to work on innovative architecture for AI systems, focusing on Scale-up Protocols and Memory Pooling. The ideal candidate will be a master's student in a related field with hands-on experience in RDMA operations 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 LLM inference benchmarking metrics.

Matching Summary

Match Score: 85

Intel is seeking a Research Intern for their Shanghai location to work on innovative architecture for AI systems, focusing on Scale-up Protocols and Memory Pooling. The ideal candidate will be a master's student in a related field with hands-on experience in RDMA operations and benchmarking methodologies.

Skills & Requirements

Must-have

  • Master's student in Electrical Engineering or Computer Science
  • Familiarity with core RDMA operations including one-sided read/write
  • Hands-on experience with Mellanox ConnectX-7 testing tools
  • Working knowledge of LLM inference benchmarking methodology

Nice-to-have

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

Key Requirements

  • Master's degree in Electrical Engineering, Computer Engineering, or Computer Science
  • Knowledge of perftest, ibstat, mlnx_tuning, and OFED utilities
  • Experience with standard LLM metrics like TTFT, TBT, and token/s

Work Rights

Not specified

Tailored Resume

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