GPU computing Jobs in California

101 - 103 of 103 Jobs

Senior Datacenter GPU Power ArchitectJob Title - Senior Datacenter GPU Power Architect

NVIDIA CorporationCompany Name - NVIDIA Corporation

•

Santa Clara, California, USA

Full-time

We are looking for a Senior Datacenter GPU Power Architect. NVIDIA is known as a world leader in providing energy-efficient high-performance products and we continue to invest in the research and development of hyper-efficient GPU and SOC architectures. We are continually innovating in creative and unrivaled ways to improve our ability to deliver exceptional Perf/Watt solutions in a wide range of sectors and verticals. Come join NVIDIAs Applied Power Architecture team to develop state of the art

Senior Developer Technology Engineer, High-Performance DatabasesJob Title - Senior Developer Technology Engineer, High-Performance Databases

NVIDIA CorporationCompany Name - NVIDIA Corporation

•

Santa Clara, California, USA

Full-time

NVIDIA is currently seeking a Senior Developer Technology Engineer for High-Performance Databases! Would you enjoy researching new algorithms and memory management techniques to accelerate databases on modern computer architectures? Do you likeinvestigating hardware and system bottlenecks, and optimizing performance of data intensive applications? Are you excited about the opportunity to work on the leading edge of technology with both visibility and impact to the success of a leader like NVIDI

Software Engineering Manager - GPU Communications LibrariesJob Title - Software Engineering Manager - GPU Communications Libraries

NVIDIA CorporationCompany Name - NVIDIA Corporation

•

Santa Clara, California, USA

Full-time

We are the GPU Communications Libraries and Networking team at NVIDIA. We deliver communication libraries like NCCL, NVSHMEM, UCX for Deep Learning and HPC. DL and HPC applications have a huge compute demand already and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high-speed interconnects (eg. NVLink, PCIe) within a node and with high-speed networking (eg. Infiniband, Ethernet) across the nodes. Communication performance between the GPUs has a direct impac