Argonne National Laboratory · 13 hours ago
Research Aide– LCF – Haddouche, Sonia– 2.2.26
On-site
Full-time
Onsite
New Grad
$31.28/hr - $46.92/hrArgonne National Laboratory is a premier research facility, and they are seeking a Research Aide to evaluate the performance of a vision algorithm on heterogeneous architectures. The role involves exploring autotuning methods to enhance performance and productivity in AI and high-performance vision workloads.
EnergySecuritySocial Impact
No H1B
U.S. Citizen Only
Responsibilities
Evaluate the portability and performance of a classical convolution based vision algorithm as it is migrated to SYCL
Explore autotuning methods to improve performance and productivity
Qualification
Required
The entirety of the appointment must be conducted within the United States
Applicants must be currently enrolled in undergraduate or graduate studies at an accredited institution
Applicants must have 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, must pass a screening drug test
Must complete a satisfactory background check
Benefits
Comprehensive benefits are part of the total rewards package
Company
Argonne National Laboratory
Argonne National Laboratory conducts researches in basic science, energy resources, and environmental management.
Founded in 1946
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
$41.4MKey Investors
Advanced Research Projects Agency for HealthUS Department of EnergyU.S. Department of Homeland Security
2024-11-14Grant· $21.7M
2023-09-27Grant
2023-01-17Grant
Leadership Team
Paul Kearns
Laboratory Director
Venkat Srinivasan
Director, Argonne Center for Collaborative Energy Storage Science (ACCESS)
Recent News
2026-01-25
Inside HPC & AI News | High-Performance Computing & Artificial Intelligence
2026-01-17
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