Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- Oak Ridge National Laboratory
- University of Toronto
- ;
- ETH Zurich
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Technical University of Munich
- University of California Davis
- University of Dayton
- University of Texas at Dallas
- University of Washington
- AIT Austrian Institute of Technology
- California Institute of Technology
- Cold Spring Harbor Laboratory
- Free University of Berlin
- Johns Hopkins University
- King Abdullah University of Science and Technology
- Lawrence Berkeley National Laboratory
- Medical Research Council
- National University of Singapore
- Rutgers University
- Stanford University
- Technical University of Denmark
- The Ohio State University
- University of Arkansas
- University of California Davis Health System
- University of Delaware
- University of Glasgow
- University of Maryland, Baltimore County
- University of Minnesota
- University of North Carolina at Greensboro
- University of Oxford
- University of Pittsburgh
- Washington University in St. Louis
- 25 more »
- « less
-
Field
-
Linux kernel internals, computation accelerators (e.g., GPU computing, CUDA), MPI, and OpenMP. Highly resourceful and adept at juggling multiple simultaneous projects. Must demonstrate ability to work
-
LLM training Bright Cluster Manager Pyxis/enroot CUDA System and storage benchmarking DataDirect Networks (DDN) SFA high-performance storage systems Working Conditions This is a hybrid position, in
-
computer science, mathematics or an equivalent with above-average performance You have very good knowledge in one of the following areas: Programming skills in Python, C++ or CUDA Deep learning frameworks
-
optical metrology Experience in the field of software development and/or corresponding programming languages (Python, C++, CUDA and/or MATLAB). Experience in the design of system- or software architectures
-
libraries like NCCL/RCCL and experience with high performance computing middleware is highly desirable. Optimizations of large parallel code bases and experience with GPU programming languages such as CUDA
-
. Familiarity with data formats common in scientific domains such as medical imaging, genomic sequences, proteins, chemical structures, geospatial, oceanographic, and heath record data. Experience in CUDA GPU
-
, VMware. Experience building and running containerized applications in an HPC environment. Knowledge of Apptainer, Warewulf, Fuzzball. Experience managing systems using GPU/CUDA clusters for AI/ML and/or
-
languages such as CUDA. Strong understanding of computer architecture, memory systems and parallel algorithms. Experience with profiling and debugging tools for GPU applications desired, such as NVIDIA
-
. • Experience with sonar-related signal processing, target tracking, and classification algorithms. • Experience with image processing. • Experience with Intel IPP, Intel MKL, Intel oneAPI, Matlab, CUDA, and real
-
requested for candidates who are invited to interview. Questions about the position may be directed to Anthony Cuda, Search Committee Chair, at ajcuda@uncg.edu . The review of applications will begin