Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Oak Ridge National Laboratory
- McGill University
- The University of Chicago
- National Renewable Energy Laboratory NREL
- The University of Alabama
- Blekinge Institute of Technology
- ETH Zurich
- Forschungszentrum Jülich
- Inria, the French national research institute for the digital sciences
- Singapore Institute of Technology
- University of Delaware
- University of Lund
- University of Michigan
- <span lang="en">TUD Dresden University of Technology</span>
- AALTO UNIVERSITY
- Aalborg University
- Aalto University
- CNRS
- Chalmers University of Technology
- Coast Community College District
- Cornell University
- George Mason University
- Harvard University
- Linköping University
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- Mohamed bin Zayed University of Artificial Intelligence
- NEW YORK UNIVERSITY ABU DHABI
- NIST
- Nanyang Technological University
- National Research Council Canada
- Northeastern University
- Purdue University
- Rutgers
- Rutgers University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- St Jude Children's Research Hospital
- Technical University of Denmark
- Technische Universität Dresden (TU Dresden)
- The University of Iowa
- University of Cadiz
- University of Colorado
- University of Louisville
- University of Nevada Las Vegas
- University of Notre Dame
- University of Tasmania
- University of Tennessee at Chattanooga
- University of Tübingen
- University of Washington
- higheredjobs
- 39 more »
- « less
-
Field
-
experience Strong practical knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing
-
experience Strong practical knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing or
-
experience Strong practical knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing or
-
, publication of scientific articles, participation in projects, etc. Demonstrable knowledge of parallel and distributed programming Languages: English at C1 level or above Other: The following will be
-
review processes and CI/CD pipelines Experience with collaboration and development platforms such as GitLab and CI/CD workflows Distributed storage systems and parallel file systems such as IBM Storage
-
systems for extreme-scale, heterogeneous computing. This role sits at the intersection of compiler infrastructure, formal verification, runtime systems, and hardware/software co‑design—expanding into
-
systems for extreme-scale, heterogeneous computing. This role sits at the intersection of compiler infrastructure, formal verification, runtime systems, and hardware/software co‑design—expanding into
-
on high-performance computing (HPC) environments using distributed data or model parallel training. Experience with multi-physics simulations on HPC and with ML models. Experience working in a multi
-
candidates should have a strong background in computer science, parallel computing, compilers, performance optimisation, and high-performance computer systems. Excellent knowledge of C and C++ is
-
, prototypes, evaluates, and scales cutting-edge computing environments, automated workflows, and advanced intelligence applications. The unit focuses on shifting manual paradigms into optimized digital