AI Infrastructure Engineer

AMD

San Jose, CA Full-time 3/24/2026 $152k - $228k per year

Undergraduate with 5+ Years of Experience

Approval 98.6%•Total filings 728•New hires 184•

✓ Established Sponsor

•FY 2025

Job Description

AMD is seeking a DevOps / Platform Engineer to build and operate large-scale GPU compute infrastructure for AI and ML workloads. The ideal candidate will have a strong background in software engineering, leadership skills, and the ability to work collaboratively in a dynamic environment.

Requirements

5+ years of experience in DevOps, Platform, or Infrastructure Engineering.
Deep hands-on experience with Kubernetes and container orchestration at scale.
Proven ability to design and deliver platform features that serve internal customers or developer teams.
Experience building developer-facing platforms or internal developer portals.

Responsibilities

Build and extend platform capabilities to enable new classes of workloads.
Design and operate scalable orchestration systems using Kubernetes across both on-prem and multi-cloud environments.
Develop platform features such as secret management, configuration management, and deployment automation for customers.
Partner with development teams to extend the GPU developer platform with features, APIs, templates, and self-service workflows.
Manage service lifecycle within Kubernetes using Helm and GitOps workflows.
Apply expertise in storage and networking to design and integrate CSI drivers, persistent volumes, and network policies.

Benefits

AMD provides a competitive 'Total Rewards' package that focuses on financial growth, health, and work-life balance.

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