AI HPC Systems Engineer: GPU Clusters & ML Platforms

AMD; San Jose (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

AMD IT compute platforms team seeks an AI Systems Engineer to design, deploy, and operate HPC infrastructure, GPU clusters, and AI workload schedulers. You will drive scalable, high-performance AI services on AMD hardware.

You will implement automation, monitor systems, and collaborate with global teams, applying SLURM, Kubernetes, and industry best practices to optimize performance and reliability.

Qualifications

• Experience with large-scale distributed AI/HPC systems.
• Deploying GPU clusters and AI workloads with reliability.
• Proficiency in Linux, Python, and shell scripting.

Responsibilities

• Develop, implement, and maintain GPU-based clusters with optimal performance.
• Administer ML/AI platforms, distributed ML services, LLMs, and AI inferencing.
• Automate system provisioning and end-to-end cluster management.
• Collaborate with cross-functional teams to address AI infrastructure needs.
• Monitor performance and ensure security and best practices.

Skills

Python

AI/ML

HPC

Kubernetes

SLURM

GPU clusters

Automation

Terraform

Prometheus

Grafana

Ansible

Shell scripting

Education

Bachelor's or master's in CS/CE

Tools

Kubernetes

SLURM

KVM

Ubuntu

Python

Shell

GPU drivers

RoCEv2

400G networking

Job description

AMD IT compute platforms team seeks an AI Systems Engineer to design, deploy, and operate HPC infrastructure, GPU clusters, and AI workload schedulers. You will drive scalable, high-performance AI services on AMD hardware.

You will implement automation, monitor systems, and collaborate with global teams, applying SLURM, Kubernetes, and industry best practices to optimize performance and reliability.