We are now looking for a Senior Performance Software Engineer for Deep Learning Libraries! Do you enjoy tuning parallel... algorithms and analyzing their performance? If so, we want to hear from you! As a deep learning library performance software...
We are looking for a Senior Software Test Development Engineer in NVIDIA’s Deep Learning SWQA team. The position... and measure the performance of NVIDIA‘s Deep Learning software and GPU Infrastructure for autonomous driving, healthcare, speech...
We are looking for a Software Test development engineer in NVIDIA’s Deep Learning SWQA team. The position is in NVIDIA... the performance of NVIDIA‘s Deep Learning software and GPU Infrastructure for autonomous driving, healthcare, speech...
in end-to-end customer scenarios. Working knowledge of NVIDIA GPU Computing (CUDA) and CUDA libraries for Deep Learning...We are looking for a Software Test development engineer in NVIDIA’s AI SWQA team. The position is in NVIDIA...
, OpenStack, Docker, Kubernetes) Experience with Deep Learning Frameworks such as PyTorch, TensorFlow, etc... for running test cases to validate NVIDIA GPU Communications Libraries (NCCL, NVSHMEM, UCX, GDRCopy, GPUDirect RDMA...
are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason... - if this role sounds like a fit for you, we'd love to hear from you! NVIDIA is seeking a Senior High Performance Computing (HPC...
We are looking for a Software Test development engineer in NVIDIA’s AI SWQA team. The position is in NVIDIA AI Software... & k8s Excellent English written and oral communication skills. Good Deep Learning medical models training knowledge...
libraries, such as CUDA, cuDNN and TensorRT, etc. Now, we are now looking for an CPU computing engineer based in Shanghai... software development experience. Excellent C/C++ programming and software design skills, including debugging, performance...
, and Analyzing Deep Learning models to identify areas for optimization and improvement in terms of performance, efficiency... deep learning workflows, focusing on networking-related bottlenecks and optimizations, to improve overall performance...