Research Aide - LCF - Tao, Yiheng - 3.4.26.

Argonne National Laboratory•Lemont, IL

18h•$31 - $47

About The Position

This project focuses on improving large language model inference performance on the ALCF inference engine, currently built using vLLM, a high-throughput LLM serving framework, and Ray, a distributed computing platform for scalable workload orchestration. Emphasis will be placed on the Sophia environment to evaluate scalability, latency, throughput, and resource utilization. The work will explore system-level and framework-level optimizations to enhance efficiency for production AI workloads. Education and Experience Requirements The entirety of the appointment must be conducted within the United States. Applicants must be: o Currently enrolled in undergraduate or graduate studies at an accredited institution. o Graduated from an accredited institution within the past 3 months; or o Actively enrolled in a graduate program at an accredited institution. Must be 18 years or older at the time the appointment begins. Must possess a cumulative GPA of 3.0 on a 4.0 scale. If accepting an offer, candidates may be required to complete pre-employment drug testing based on appointment length. All students remain subject to applicable drug testing policies. Must complete a satisfactory background check.

Requirements

The entirety of the appointment must be conducted within the United States.
Currently enrolled in undergraduate or graduate studies at an accredited institution.
Graduated from an accredited institution within the past 3 months; or
Actively enrolled in a graduate program at an accredited institution.
Must be 18 years or older at the time the appointment begins.
Must possess a cumulative GPA of 3.0 on a 4.0 scale.
If accepting an offer, candidates may be required to complete pre-employment drug testing based on appointment length. All students remain subject to applicable drug testing policies.
Must complete a satisfactory background check.