Senior Infrastructure Lead, Data Center & AI Platforms

Advanced Micro Devices, Inc.

Austin (TX)

Hybrid

USD 180,000 - 240,000

Full time

2 days ago
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Job summary

Advanced Micro Devices, Inc. in Austin, TX is seeking a Principal Member of Technical Staff Infrastructure Lead to shape and run AMD’s data center infrastructure, spanning networking, storage, and compute virtualization.

This hands-on leadership role partners with architecture, security, and platform teams to prevent incidents, improve scalability, and enable new GPU platforms for AI workloads. You will mentor engineers, drive reliability, and influence architectures for growth across data

Qualifications

  • Bachelor's degree in a technical field or equivalent experience.
  • Proven hands-on leadership in data center infrastructure and platform engineering.
  • Strong cross-domain troubleshooting across networking, storage, and virtualization.
  • Experience with Linux and virtualization technologies in enterprise environments.

Responsibilities

  • Diagnose and resolve complex infra incidents across networking, storage, and compute virtualization.
  • Lead troubleshooting using monitoring, logs, captures, and performance data to identify failure points.
  • Collaborate with architecture, platform, security, and domain engineering teams to implement reliable infra solutions.
  • Support the deployment and enablement of new AMD data center GPU platforms and related infra.
  • Design and review infra for new builds, expansions, migrations, and hardware refreshes.
  • Mentor engineers and drive reliability practices across the team.

Skills

Networking
Storage
Compute virtualization
Linux administration
Automation scripting
Kubernetes
VMware ESXi
Prometheus

Education

Bachelor's degree in CS/CE

Tools

Prometheus
Grafana
Zabbix

Job description

Advanced Micro Devices, Inc. in Austin, TX is seeking a Principal Member of Technical Staff Infrastructure Lead to shape and run AMD’s data center infrastructure, spanning networking, storage, and compute virtualization.

This hands-on leadership role partners with architecture, security, and platform teams to prevent incidents, improve scalability, and enable new GPU platforms for AI workloads. You will mentor engineers, drive reliability, and influence architectures for growth across data

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