GPU AI Platform Engineer - Kubernetes & DevOps

AMD; San Jose (CA); On-site; USD 140,000 - 170,000; Full time

Benefits offered by this job

AMD benefits

Job summary

AMD is seeking a DevOps / Platform Engineer to build and operate large-scale GPU compute infrastructure powering AI/ML workloads. The role emphasizes Kubernetes orchestration across on-prem and multi-cloud, with a focus on platform features and developer tooling.

The ideal candidate has hands-on Kubernetes expertise, experience with Helm and GitOps, and works well in a collaborative, startup-like environment within a large company.

Qualifications

• Experience in DevOps/Platform or Infrastructure Engineering.
• Hands-on experience with Kubernetes at scale.
• Experience building developer-facing platforms or internal developer portals.

Responsibilities

• Build and extend platform capabilities to enable new workloads.
• Design and operate Kubernetes orchestration across on-prem and multi-cloud environments.
• Develop platform features such as secret/config management and deployment automation for customers.
• Partner with development teams to extend the GPU developer platform with features, templates, and self-service workflows.
• Manage service lifecycle within Kubernetes using Helm and GitOps (ArgoCD or Flux).
• Apply storage and networking expertise to design CSI drivers and high-performance GPU workloads.

Skills

DevOps experience

Kubernetes expert

Platform engineering

Observability tooling

Education

Bachelor's or Master's in Computer Science/Engineering

Tools

Kubernetes

Terraform

Prometheus

Grafana

ArgoCD

Flux

CSI drivers

Job description

AMD is seeking a DevOps / Platform Engineer to build and operate large-scale GPU compute infrastructure powering AI/ML workloads. The role emphasizes Kubernetes orchestration across on-prem and multi-cloud, with a focus on platform features and developer tooling.

The ideal candidate has hands-on Kubernetes expertise, experience with Helm and GitOps, and works well in a collaborative, startup-like environment within a large company.