Do you want to help power the world’s most demanding Artificial Intelligence (AI) and High Performance Computing (HPC) workloads on Azure? The Azure HPC/AI Software team is expanding our engineering presence in Dublin to accelerate innovation in Azure HPC/AI Images and Microsoft HPC Pack — powering some of the world’s most demanding HPC and AI workloads — from large-scale physics simulations, climate modeling, and computational chemistry to AI model training and inferencing on thousands of Graphics Processing Units (GPUs).

Azure HPC/AI Images are pre-configured, performance-optimized Operating System (OS) images that integrate the latest HPC and AI software stacks — including Message Passing Interface (MPI) libraries, GPU drivers, communication runtimes, container runtimes, and high-speed networking drivers — enabling customers to run cutting-edge HPC/AI workloads on Azure with minimal setup time and maximum performance. Microsoft HPC Pack provides enterprise-class cluster management, job scheduling, and monitoring for hybrid and cloud-native HPC environments, enabling customers to orchestrate workloads across on-premises and Azure resources seamlessly.
As a Software Engineer, you will contribute to the development, testing, and maintenance of Azure HPC/AI Images, working with technologies such as MPI libraries (Intel MPI, Open MPI, MVAPICH2), GPU computing frameworks (Compute Unified Device Architecture (CUDA), NVIDIA Collective Communication Library (NCCL), Radeon Open Compute (ROCm), Radeon Collective Communication Library (RCCL)), high-speed networking (NVLink, InfiniBand, Remote Direct Memory Access (RDMA), Libfabric, Unified Communication X (UCX)), and parallel file systems (Azure Managed Lustre). You will collaborate with experienced engineers and industry-leading partners to integrate and optimize these technologies for Azure customers. You will also assist in sustaining Microsoft HPC Pack to ensure its job scheduling and cluster management capabilities continue to serve global enterprise customers. This role offers the opportunity to learn from experts and contribute to the Azure HPC/AI infrastructure that supports scientific research, AI innovation, and mission-critical workloads worldwide.
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