Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
processor topology. On modern servers, Non-Uniform Memory Access (NUMA) architectures and GPU accelerators introduce asymmetric memory access costs that remain largely invisible to application-level code yet
-
Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
performance of complex AI research workloads on state-of-the-art hardware. The role will have heavy focus on optimizing existing NVIDIA GPU-based workloads for top-tier AMD GPUs, such as MI355X and beyond and
-
Kubernetes, and GPU infrastructure; (f) have a good command in both written and spoken English and Chinese; and (g) have good communication skills. Preference will be given to those with experience in
-
managing GPU-enabled infrastructure (NVIDIA GPUs, CUDA, multi-GPU systems) in cloud and/or on-prem environments. Familiarity with GPU orchestration in Kubernetes (e.g., NVIDIA device plugin, GPU scheduling
-
initiatives and process improvement. Experience provisioning and managing GPU-enabled infrastructure (NVIDIA GPUs, CUDA, multi-GPU systems) in cloud and/or on-prem environments. Familiarity with GPU
-
in chemistry, physics, or related field. At least 2 years of experience developing quantum Monte Carlo algorithms. Strong problem-solving and analytical skills. Python programming experience. GPU
-
and multi-omics data environments Modern GPU, and high-performance computing resources, plus dedicated research-engineering support Close integration with clinicians and clinical trial/implementation
-
the strategic direction for the unit while personally driving key programs forward. You will own the Center’s research accelerator portfolio - including GPU grants, university partnerships (e.g
-
inclusive workforce Access to our GPU-accelerated HPC cluster and laboratories with cutting-edge sequencing technologies and molecular assays Performance-based remuneration and other benefits The opportunity
-
FLAME-GPU Accelerated Agent-based Modelling of Material Response to Environmental and Operational Loading EPSRC CDT in Developing National Capability for Materials 4.0, with the Henry Royce