Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Carnegie Mellon University
- Oak Ridge National Laboratory
- Nature Careers
- HHMI
- The Ohio State University
- ETH Zurich
- NEW YORK UNIVERSITY ABU DHABI
- Princeton University
- University of Birmingham
- Forschungszentrum Jülich
- National University of Singapore
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- DAAD
- Harvard University
- Hong Kong Polytechnic University
- Lawrence Berkeley National Laboratory
- McGill University
- Nanyang Technological University
- North Carolina State University
- Technical University of Munich
- The University of Chicago
- University of California
- University of Florida
- University of Glasgow
- University of Nevada Las Vegas
- University of Sheffield
- University of South Carolina
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- CNRS
- California Institute of Technology
- Central Michigan University
- Cornell University
- Florida International University
- Fraunhofer-Gesellschaft
- Imperial College London
- K3Y Ltd
- Linköping University
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology (MIT)
- NIST
- Northeastern University
- Pennsylvania State University
- SciLifeLab
- Stony Brook University
- University of Colorado
- University of Lund
- University of Pennsylvania
- University of Texas at Arlington
- University of Texas at Austin
- 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
- Brown University
- Case Western Reserve University
- City of Hope
- Drexel University
- Duke University
- Embry-Riddle Aeronautical University
- Erasmus MC (University Medical Center Rotterdam)
- Ghent University
- Heidelberg University
- ICN2
- 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
- Johannes Kepler University
- Johns Hopkins University
- Kennesaw State University
- Koç 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;
- 90 more »
- « less
-
Field
-
of the following technology areas: hardware/software co-design, performance optimization with heterogeneous and alternative computing systems (CPU/GPU/NPU/etc.), FPGA design, high-performance computing
-
cluster consisting of 16,616 CPU cores and approximately 100 GPUs, as well as a dedicated AI cluster with 40 A100/H100 GPUs. Position Overview The Department Chair will serve as the academic and
-
Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 3 months ago
for MPI, GPU architectures, and possibly non-x86 CPU architectures); groundwork on Guix, such as: supporting non-root usage; ensuring adequate continous integration and automation tooling; organizing and
-
methodology Assist with code optimization and integration into Department of Energy (DOE's) applications running on the exascale computer systems with GPU accelerators We are looking for: PhD or equivalent
-
maintenance. Proficiency in programming languages such as Python, R, C#, and SQL. Familiarity with high-performance computing, cloud computing (e.g., AWS), GPUs, and DevOps tools, including version control
-
-access AI resources. Experience in GPU-accelerated computing and reproducible software development, including the use of containerization frameworks (e.g., Docker, Singularity) and collaborative code
-
: Experience in real-time simulation hardware like Opal-RT and RTDS. Experience with software development. Experience with use of DSPs, FPGAs, advanced computing (e.g., GPUs, QPUs). Excellent written and oral
-
that serves researchers and educators at the University of Utah and beyond. Responsibilities Kubernetes for AI/ML: Design and deploy highly available Kubernetes clusters, optimized for GPU utilization and AI/ML
-
to push the boundaries of what’s possible. We work with petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing thousands of high-end GPUs. We don’t
-
plasma physics (XGC, IPPL). Expected qualifications: A Master's degree in Computer Science or Applied Mathematics. Necessary knowledge: Modern C++, GPU computing with CUDA/SYCL, MPI, Krylov solvers