Visiting Student-Subcontractor - DSL - Wang, Wenyi - 9.21.26.

Argonne National Laboratory • Lemont, IL

14h • Onsite

About The Position

The students will develop scalable methods for model inference, specifically exploiting DOE HPC systems with both industry-standard methods and a new MPI backend. They will analyze inference workloads and develop scheduling models to optimize performance.

Requirements

• Must be 18 years or older at the time the appointment begins.
• Currently enrolled in undergraduate or graduate studies at an accredited institution.
• Graduated from an accredited institution within the past 3 months.
• Actively enrolled in a graduate program at an accredited institution.
• The entirety of the appointment must be conducted within the United States.

Responsibilities

• Develop scalable methods for model inference.
• Exploit DOE HPC systems with industry-standard methods and a new MPI backend.
• Analyze inference workloads.
• Develop scheduling models to optimize performance.

What This Job Offers

• Job Type: Part-time
• Career Level: Entry Level
• Education Level: No Education Listed