Research Aide - LCF - Kwiecinski, Wesley - 3.16.26.

Argonne National LaboratoryLemont, IL
2d$27 - $40

About The Position

This project focuses on evaluating the performance, reliability, and scalability of inference services deployed within the Argonne Leadership Computing Facility (ALCF). The intern will design and implement testing workflows to validate inference pipelines, develop benchmarking methodologies to measure latency, throughput, and resource utilization, and analyze system performance under varying workloads. The work will help ensure that ALCF’s AI inference infrastructure can efficiently support large-scale scientific and machine learning applications. Results will include reproducible benchmarking tools, performance reports, and recommendations for improving inference service reliability and efficiency.

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.

Responsibilities

  • design and implement testing workflows to validate inference pipelines
  • develop benchmarking methodologies to measure latency, throughput, and resource utilization
  • analyze system performance under varying workloads
  • reproducible benchmarking tools
  • performance reports
  • recommendations for improving inference service reliability and efficiency

Benefits

  • comprehensive benefits are part of the total rewards package.

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What This Job Offers

Job Type

Full-time

Career Level

Intern

Education Level

No Education Listed

Number of Employees

1,001-5,000 employees

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