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
-
with high-performance computing capabilities (including approximately 4,000 Nvidia RTX 4000 Ada GPUs and over 30,000 CPU cores) hosted at the project data center in Nevada where the telescope is located
-
has embraced the “infrastructure as code” approach to systems automation. You’ll be working across a range of predominately Linux based systems, including HPC and GPU accelerated compute, large-scale
-
models including scaling models across a large set of GPUs; building or optimizing LLMs to tackle new, complex tasks; developing new models of brain circuits and function; and learning software engineering
-
of code acceleration (GPU) Participate in numerical modelling (HPC (GPU), MPI Fortran / C, C++ Kokkos, Python, Perl) of SAMS front end and physics/test modules. Write research reports, progress reports
-
-performance computing, including parallel or GPU programming (MPI, OpenMP, CUDA, Kokkos, etc.) Familiarity with modern software development practices, including debugging, profiling, and version control
-
, computational algebra, logic and programming languages. The department is housed in the newly constructed Science & Innovation Center which boasts Data Center with High Performance GPU Cluster and state
-
suite of software, and its deployment on the university HPC & GPU based system. The position is primarily research and enterprise, but there would be a contribution of up to 20% to teaching, including
-
or more GPUs; ability to work with pre-existing codebases and get a training run going Research interest in one or more of the following: Applied ML, Natural Language Processing, Computer Vision
-
Engineering, or a related field Strong experience in building and optimizing AI systems using PyTorch, TensorFlow, or JAX Practical knowledge of NVIDIA GPU programming (CUDA) and experience with inference
-
transcriptomics. Innovative visualization tools and highly automated analytical pipelines powered by GPU technology. Mentorship from experienced scientists in data analysis and management, with an expertise in