Description
ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we're looking for talent who feel the same: people who want to leave the planet better than they found it, those who don't shy away from humanity's challenges but are determined to help solve them.
AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you're designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger — technology that moves the world forward.
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 joining 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.
- 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.
- 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.
- 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.
- 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.
- 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
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
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