Sort by
Refine Your Search
-
Specific Integrated Circuits (ASIC), Processors (CPU, GPU, VPU and accelerators), Field Programmable Gate Arrays (FPGA) and System-on-Chips (SoCs), as well as Intellectual Property (IP) Core developments for
-
platforms such as llm servers, shared virtual GPUs (VGPUs) used by OPS-G, and the broader utilization of cloud resources. Ensuring the smooth operation, availability, and continuous improvement
-
research profile, and an international network around big data in marine sciences. The candidate will have access to NIOZ’s high-performance computing cluster, GPU nodes for deep learning, dedicated data
-
of computing systems—driven by edge devices, AI accelerators, and domain-specific architectures—has created unprecedented hardware heterogeneity. Modern platforms combine CPUs, GPUs, FPGAs, ASICs, and emerging
-
equipment such as small cluster computers, high-end GPU nodes and specially configured workstations on which experiments are conducted. You will be working in a team of junior and senior system administrators
-
), with experience in software engineering practices (testing, CI/CD). You have worked with deep learning frameworks (e.g. PyTorch, TensorFlow), ideally in large-scale multi-GPU settings. You have an