Research Aide - LCF - Luangrath, Colin - 3.4.26.

Argonne National Laboratory • Lemont, IL

11h • $22 - $31

About The Position

The summer student will support the development and evaluation of our profiling tool, THAPI, with a focus on AI/ML workloads at scale. They will run and analyze profiling experiments across representative workloads to identify performance bottlenecks in both the applications and underlying software stack. The student will also help assess gaps in THAPI’s current capabilities and identify missing features or instrumentation needed to better support AI/ML profiling use cases. Their work will contribute to improving THAPI’s usability, coverage, and effectiveness for large-scale performance analysis. 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.

Responsibilities

• Support the development and evaluation of our profiling tool, THAPI, with a focus on AI/ML workloads at scale.
• Run and analyze profiling experiments across representative workloads to identify performance bottlenecks in both the applications and underlying software stack.
• Help assess gaps in THAPI’s current capabilities and identify missing features or instrumentation needed to better support AI/ML profiling use cases.
• Contribute to improving THAPI’s usability, coverage, and effectiveness for large-scale performance analysis.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed