AMD is seeking a DevOps / Platform Engineer to join their team focused on building and operating large-scale GPU compute infrastructure for AI and ML workloads. The ideal candidate will have a passion for software engineering and strong leadership skills to independently deliver on multi-quarter projects. This role requires effective communication and collaboration within a larger organization, as well as a willingness to adapt to a startup-like environment. The engineer will work on enhancing platform capabilities and ensuring high-performance GPU workloads.

• 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.
• Hands-on experience in storage or network engineering within Kubernetes environments.
• Experience with Infrastructure as Code tools like Terraform.
• Background in HPC, Slurm, or GPU-based compute systems for ML/AI workloads.
• Practical experience with monitoring and observability tools.
• Understanding of machine learning frameworks.

• 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.

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