Software Development Engineer

Advanced Micro Devices; Bengaluru; On-site; INR 2,200,000 - 3,200,000; Full time

Job summary

AMD is seeking a seasoned HPC Systems Engineer in Bengaluru to lead design, deployment, and optimization of large-scale HPC clusters and cloud-based HPC environments. You will work with Python, Kubernetes, Slurm, OpenStack, and Ansible to support AI/ML workloads, provide real-time client troubleshooting, and drive performance improvements.

The role emphasizes hands-on administration, problem-solving across GPUs/CPUs, storage and network subsystems, and collaboration with DevOps and researchers

Qualifications

• 7+ years of experience in HPC environments.
• Hands-on with Python, Kubernetes, Slurm, OpenStack, and Ansible.
• Experience supporting external clients in live troubleshooting.

Responsibilities

• Manage and optimize HPC clusters for high availability and performance.
• Troubleshoot GPU/CPU drivers, firmware, and OS issues.
• Debug storage, networking, and job scheduling bottlenecks in Slurm.
• Deploy and manage HPC workloads in Kubernetes for AI/ML.
• Automate provisioning with IaC and maintain CI/CD for HPC apps.
• Provide real-time client support and document solutions.

Skills

Python

Kubernetes

Slurm

OpenStack

Ansible

Education

Bachelor or Master’s Degree in Computer Engineering or Electrical/Electronics Engineering

Tools

Singularity

Docker

OpenShift

Ceph

Cinder

Job 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 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 & 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

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.