Research Aide - LCF - Dunlavy, Maisy - 3.18.26.
About The Position
This project studies how reliable modern GPUs are when small transient errors occur during application execution. It uses a unified fault-injection approach to understand how errors propagate through GPU-accelerated scientific and heterogeneous workloads across different hardware platforms. By comparing program outputs after controlled bit-level perturbations, the work identifies which parts of applications are most vulnerable to silent errors or failures. The broader goal is to improve understanding of GPU resilience and guide the design of more reliable future computing systems.
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.
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
