SMTS Systems Design Eng.

Job Description

We are seeking an experienced HPC Systems Engineer with 7+ years of expertise in high-performance computing (HPC) environments. This role requires hands-on experience with Python, Kubernetes (K8s), Slurm, OpenStack, and Ansible , along with the ability to support external clients in live troubleshooting sessions. The PERSON: The ideal candidate will have deep technical knowledge of drivers, troubleshooting methods, and system-level debugging and will play a key role in managing, optimizing, and troubleshooting HPC 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 & Collaboration Provide 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 QUALIFICATIONS: 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.