Sort by
Refine Your Search
-
. • Solid knowledge of numerical methods, including optimization, linear algebra, and geometry processing. • Experienced on GPU programming, familiar with cuda thread scheduling, allocation, and
-
Qualifications Considered Knowledge of CUDA. Experience writing software trigger infrastructure. Experience mentoring more junior researchers Required Experience In-depth knowledge of specialized field, process or
-
been pursuing novel research in parallel algorithms with strong theoretical underpinnings, for the Compute Unified Device Architecture (CUDA) enabled NVIDIA GPUs, to solve large-scale Assignment Problems
-
, process or discipline. May require experience with specialized software programs. Additional Qualifications Considered Knowledge of CUDA. Knowledge of PyTorch or a similar deep learning framework Experience
-
field or method, including, but not limited to, numerical methods, machine learning, or parallel and distributed computing. Expertise in a parallelization method (e.g., CUDA or ROCm, MPI, OpenMP
-
publications, patents, or software developments. • Strong technical proficiency in AI modeling, computational tools, and programming languages relevant to AI research (e.g., Python, CUDA). Key Competencies