Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Carnegie Mellon University
- Oak Ridge National Laboratory
- Nature Careers
- HHMI
- National University of Singapore
- Princeton University
- The Ohio State University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Sheffield
- ETH Zurich
- Forschungszentrum Jülich
- Nanyang Technological University
- University of Birmingham
- DAAD
- Harvard University
- Hong Kong Polytechnic University
- Lawrence Berkeley National Laboratory
- Linköping University
- McGill University
- NEW YORK UNIVERSITY ABU DHABI
- North Carolina State University
- Pennsylvania State University
- Technical University of Munich
- University of California
- University of Florida
- University of Glasgow
- University of Nevada Las Vegas
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- California Institute of Technology
- Central Michigan University
- Cornell University
- Fraunhofer-Gesellschaft
- Imperial College London
- K3Y Ltd
- Koç University
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology (MIT)
- NIST
- Northeastern University
- SciLifeLab
- Stony Brook University
- University of Central Florida
- University of Colorado
- University of Pennsylvania
- University of South Carolina
- University of Texas at Arlington
- University of Toronto
- University of Washington
- AALTO UNIVERSITY
- ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA INDUSTRIALE
- Aalborg University
- Auburn University
- Binghamton University
- Blekinge Institute of Technology
- CNRS
- Cardiff University
- Case Western Reserve University
- City of Hope
- Drexel University
- Duke University
- Embry-Riddle Aeronautical University
- Erasmus MC (University Medical Center Rotterdam)
- Florida International University
- Georgia State University
- Ghent University
- Heidelberg University
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- Illinois State University
- Inria, the French national research institute for the digital sciences
- Iowa State University
- James Cook University
- James Madison University
- Jane Street Capital
- Johns Hopkins University
- Kennesaw State University
- La Rochelle Université
- Leibniz
- Lunds universitet
- Max Planck Institute for Innovation and Competition, Munich
- Max Planck Institute for Radio Astronomy, Bonn
- Max Planck Institute of Geoanthropology, Jena
- Memorial Sloan-Kettering Cancer Center
- Meta/Facebook
- Monash University
- NEC Laboratories Europe GmbH
- National Renewable Energy Laboratory NREL
- New York University
- Observatoire de Paris
- Purdue University
- RMIT University
- SUNY Polytechnic Institute
- Seton Hall University
- Technical University of Denmark
- Texas A&M University System
- The Chinese University of Hong Kong
- The Cyprus Institute
- The Francis Crick Institute;
- The Rockefeller University
- The University of Arizona
- The University of Chicago
- 90 more »
- « less
-
Field
-
Language Model (LLM) training platform, developing unified capabilities for GPU resource pooling, training job scheduling, inference acceleration and the Machine Learning Operations (MLOps) platform
-
/GPU environments. Provide consultative support and training to researchers using BRC AI/ML tools and pipelines. Performs related duties & responsibilities as assigned/requested. Qualifications REQUIRED
-
(URCF) at Drexel University is building a new shared computing platform focused on GPU-accelerated workloads, particularly AI model training. The system includes GPU and CPU compute nodes with Nvidia H200
-
heterogeneous (CPU/GPU) computing models. Collaborate with physicists, computer scientists, mathematicians and engineers across LBNL divisions to define software requirements, implement robust solutions, and
-
experiments, particularly ATLAS and DUNE. Contribute to the architecture and core development of the Phlex framework, emphasizing scalable, multi-threaded, and heterogeneous (CPU/GPU) computing models
-
that serve the entire campus community. You will bridge the gap between high-performance hardware and practical user applications, ensuring that our AI infrastructure, from GPU infrastructure to sovereign data
-
heterogeneous (CPU/GPU) computing models. Collaborate with physicists, computer scientists, mathematicians and engineers across LBNL divisions to define software requirements, implement robust solutions, and
-
Job Code 0005 Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job The successful applicant will assist in the adaptation of the PPMstar code to run well on GPU-accelerated
-
analysis systems using GPU- and FPGA-supported HPC clusters at large international research facilities such as Effelsberg, SKA, and MeerKAT. The systems developed by the BDG are based on state-of-the-art
-
international journals or conferences. Experience in predictive modeling for forecasting or recommendation systems. Strong programming skills in Python and AI frameworks (PyTorch, TensorFlow), including GPU/cloud