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3 weeks ago


Hyderabad, India Advanced Micro Devices (AMD) Full time

Job Description We are seeking an experiencedHPC Systems Engineerwith7+ years of expertise in high-performance computing (HPC)environments. This role requires hands-on experience withPython, Kubernetes (K8s), Slurm, OpenStack, and Ansible, along with the ability tosupport external clients in live troubleshooting sessions. The PERSON: The ideal candidate will have deep technical knowledge ofdrivers, troubleshooting methods, and system-level debuggingand will play a key role in managing, optimizing, and troubleshootingHPC clusters and cloud-based HPC environments. - KEY RESPONSIBILITIES: - HPC System Administration & Troubleshooting Manage and optimize HPC clusters, ensuring high availability and performance. - Troubleshoot GPU, CPU, network drivers, firmware, and OS-level issues. - Debug storage, networking, and job scheduling bottlenecks in Slurm-based environments. - Kubernetes & Cloud HPC Environments Deploy and manage HPC workloads in Kubernetes for AI/ML and parallel computing. - Optimize OpenStack-based HPC clusters with Ceph, Cinder, and Neutron for cloud scalability. - Implement containerized HPC workflows using Kubernetes and OpenShift. - Automation & Infrastructure as Code (IaC)Develop Ansible and Terraform scripts for provisioning and managing HPC resources. - Automate job scheduling, cluster monitoring, and log analysis using Python. - Optimize CI/CD pipelines for HPC and AI/ML applications. - Performance Tuning & Benchmarking Benchmark and optimize multi-node HPC workloads (MPI, NCCL, ROCm, CUDA). - Tune OS parameters, networking (InfiniBand, RoCE), and Slurm configurations for peak performance. - Enhance HPC storage performance (Ceph, Lustre, NFS) and distributed computing efficiency. - Client Support & CollaborationProvide real-time technical support and troubleshooting for HPC users. - Engage with developers, DevOps, and system administrators to optimize cluster performance. - Document solutions, best practices, and contribute to internal knowledge bases. PREFERRED QUALIFICATION'S - Experience with AMD MI300, MI2X0 GPUs, ROCm, MPI, UCX, or XPMEM. - Exposure to containerized workloads using Singularity or Docker in HPC. - Familiarity with OpenStack deployment automation (e.g., TripleO, Kolla, or OpenStack-Ansible). - Experience in customer-facing technical roles, with a strong ability to troubleshoot live issues.


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