Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- Oak Ridge National Laboratory
- ;
- California Institute of Technology
- ETH Zurich
- University of Texas at Austin
- Fraunhofer-Gesellschaft
- Princeton University
- Stony Brook University
- Technical University of Munich
- The University of Chicago
- Carnegie Mellon University
- Forschungszentrum Jülich
- Harvard University
- KINGS COLLEGE LONDON
- North Carolina State University
- Northeastern University
- Pennsylvania State University
- The University of Queensland
- University of Sheffield
- Auburn University
- Boston Children's Hospital
- Brookhaven Lab
- CEA
- Imperial College London
- Loughborough University
- NIST
- SUNY University at Buffalo
- UNIVERSITY OF GREENWICH
- UNIVERSITY OF SURREY
- University of Bristol
- University of California, Los Angeles
- University of Glasgow
- University of Oklahoma
- University of Pennsylvania
- University of Toronto
- University of Vermont
- Yale University
- Boston College
- CSIRO
- Capitol College
- Centre for Genomic Regulation
- City University London
- Cold Spring Harbor Laboratory
- Deakin University
- Duke University
- Emory University
- European Magnetism Association EMA
- Free University of Berlin
- Heriot Watt University
- Hofstra University
- Johns Hopkins University
- King Abdullah University of Science and Technology
- Kingston University
- Koç University
- Lawrence Berkeley National Laboratory
- Linköping University
- Medical College of Wisconsin
- Monash University
- NEW YORK UNIVERSITY ABU DHABI
- Nanyang Technological University
- Rutgers University
- Singapore Institute of Technology
- Stanford University
- Temple University
- The Chinese University of Hong Kong
- The Ohio State University
- University of Alberta
- University of Antwerp
- University of Arkansas
- University of British Columbia
- University of California
- University of California Davis
- University of California, San Diego
- University of Colorado
- University of Delaware
- University of Greenwich
- University of Kansas Medical Center
- University of Lund
- University of Manchester
- University of Maryland, Baltimore
- University of Maryland, Baltimore County
- University of Miami
- University of Oxford
- University of South Carolina
- University of Surrey
- University of Utah
- University of Washington
- Virginia Tech
- Washington University in St. Louis
- 80 more »
- « less
-
Field
-
database modeling techniques (e.g., vector and graph databases). Familiarity with high-performance computing environments and AI-focused GPU provisioning. Experience with Microsoft CoPilot, OpenAI APIs, and
-
computer science or a science or engineering field. Expertise working with high-performance computing systems, GPU programming, machine learning, and/or full-stack. Experience teaching best practices in software
-
well as the newly launched Center for Generative AI and its associated GPU cluster consisting of 600 GH200 nodes. Qualifications All candidates must hold a Ph.D. or equivalent degree in Chemistry, Molecular Biology
-
learning, AI engineering, AI infrastructure, hybrid cloud computing, and parallel programming with GPUs, to work at the Institute for Artificial Intelligence and Data Science (IAD). As a Senior Research
-
, hybrid cloud computing, and parallel programming with GPUs. As a Junior Research Engineer, you should have some basic understanding and experience in the development of scalable AI systems and deployment
-
that combine parallel architectures (i.e., GPUs or accelerator boards, clusters) and numerical algorithms suited to such architectures with the goal of improving the speed of convergence and the stability
-
for the Foundations of Machine Learning (IFML), and Good Systems initiative as well as the newly launched Center for Generative AI and its associated GPU cluster consisting of 600 GH200 nodes. All positions are subject
-
methodologies, including data and model parallelism. Proficiency in GPU programming and kernel-based programming for deep learning, including the ability to optimize deep learning algorithms at a low level, is a
-
on heterogeneous processor types Optimized GPU computing and exploitation of GPU architectures for HPEC (tensors, multi-GPU instantiations, advances in GPU for AI/ML) Compute-focused optimization of System-on-Chip
-
descriptive and appropriately detailed manner that can be understood by both researchers and future Research Software Engineers. Serve as liaison with Princeton Research Computing staff on GPU cluster related