Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Washington
- Oak Ridge National Laboratory
- University of California
- Lawrence Berkeley National Laboratory
- Northeastern University
- University of Colorado
- Johns Hopkins University
- Nature Careers
- Rutgers University
- SUNY University at Buffalo
- The University of Chicago
- University of Utah
- Colorado State University
- Cornell University
- New York University
- The University of North Carolina at Chapel Hill
- University of Maine
- University of Texas at Dallas
- Wayne State University
- Baylor University
- Brookhaven Lab
- Brookhaven National Laboratory
- California State University San Marcos
- Duke University
- HHMI
- Harvard University
- NIST
- National Renewable Energy Laboratory NREL
- SUNY Oswego
- State University of New York University at Albany
- The California State University
- The University of Alabama
- The University of Arizona
- University of Alabama, Tuscaloosa
- University of California Davis
- University of California Merced
- University of California, Merced
- University of California, San Francisco
- University of Cincinnati
- University of Dayton
- University of Delaware
- University of Massachusetts Boston
- University of Pennsylvania
- University of Texas Rio Grande Valley
- Washington University in St. Louis
- 35 more »
- « less
-
Field
-
Abilities: Experienced in heterogenous computing with GPU accelerators using one of the programming models: CUDA, HIP, SYCL, Kokkos, OpenMP, OpenACC and similar. Familiar with distributed parallel computing
-
, Machine Learning, Data Science, Security and Privacy, Parallel and Distributed Computing, Deep Learning, Internet of Things (IoT), and Algorithms. Successful candidates will hold a joint appointment with
-
range of areas including but not limited to Artificial Intelligence, Machine Learning, Data Science, Security and Privacy, Parallel and Distributed Computing, Deep Learning, Internet of Things (IoT), and
-
. Demonstrated experience performing research and technical work supporting DoD customers, including but not limited to AFRL 4. Research involving parallel distributed autonomy applications 5. Experience with
-
parallel and object storage systems, and advanced AI/ML compute environments optimized for large language models and data-intensive science. The Architect is highly hands-on building and automating secure
-
, or workshops. Knowledge, Skills and Ability: Ability to program in multiple programming languages like C/C++, FORTRAN, Python, R or similar scientific programming languages. Knowledge of parallel programming
-
, or workshops. Knowledge, Skills and Ability: Ability to program in multiple programming languages like C/C++, FORTRAN, Python, R or similar scientific programming languages. Knowledge of parallel programming
-
, or similar CI/CD systems Containerization (Docker) and building software for multi-arch environments Development in high-performance computing (HPC) or distributed systems Strong understanding of Linux
-
. The department’s 26 tenured/tenure-track faculty conduct state-of-the-art research in topics including artificial intelligence, cybersecurity, distributed systems, and parallel and scientific computing, and engage
-
, Mixture-of-Experts; distributed training/inference (e.g. FSDP, DeepSpeed, Megatron-LM, tensor/sequence parallelism); scalable evaluation pipelines for reasoning and agents. Federated & Collaborative