Software Development Engineer

Software Development Engineer

The Team

AMD’s Data Center GPU organization is transforming the industry with our AI-based Graphic Processors. Our primary objective is to design exceptional products that drive the evolution of computing experiences, serving as the cornerstone for enterprise Data Centers, (AI) Artificial Intelligence, HPC and Embedded systems. If this resonates with you, come and join our Data Center GPU organization where we are building amazing AI-powered products with amazing people.

The Role

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.

This role is critical in ensuring seamless HPC operations, troubleshooting complex system issues, and supporting high-profile clients with real-time problem resolution in both bare-metal and cloud-based HPC environments.

Academic Credentials

• Bachelor or Masters Degree in Computer Engineering or Electrical/Electronics Engineering

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.