Sort by
Refine Your Search
- 
                Employer
- Northeastern University
 - Oak Ridge National Laboratory
 - University of California
 - University of Washington
 - Brookhaven Lab
 - Brookhaven National Laboratory
 - Lawrence Berkeley National Laboratory
 - The University of North Carolina at Chapel Hill
 - University of California, Merced
 - University of North Carolina at Chapel Hill
 - Washington University in St. Louis
 - 1 more »
 - « less
 
 - 
                Field
 
- 
                
                
                
programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or
 - 
                
                The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
and Experience: Distributed parallel training and parameter-efficient tuning. Familiarity with multi-modal foundation models, HITL techniques, and prompt engineering. Experience with LLM fine-tuning
 - 
                
                
                
programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or
 - 
                
                
                
programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or
 - 
                
                
                
Mathematics, or a related field, awarded within the last five years Programming experience in one or more of Python, C++, Fortran, or Julia Knowledge of high-performance and parallel computing Experience
 - 
                
                
                
implementing, optimizing, or integrating quantum libraries such as Itensor, CUDA-Q, Qiskit, or PennyLane. Experience debugging and profiling distributed-memory parallel applications. Knowledge of Git and modern
 - 
                
                
                
. Experience implementing, optimizing, or integrating quantum libraries such as Itensor, CUDA-Q, Qiskit, or PennyLane. Experience debugging and profiling distributed-memory parallel applications. Knowledge
 - 
                
                University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
-reviewed publications in relevant fields Strong problem-solving skills and the ability to work in a collaborative environment. Preferred Qualifications, Competencies, and Experience Distributed parallel
 - 
                
                
                
distributed systems techniques. Proficiency in programming languages such as Python, C++, or similar, as well as experience with HPC environments and parallel computing. Demonstrated hands-on experience and
 - 
                
                
                
distributed intelligence across the computing continuum. In this role, you will have the opportunity to lead and contribute to cutting-edge research aimed at transforming scientific data management and