Lead Data Center Platform Engineer – Compute, GPU & Storage

Meta Careers

Menlo Park (CA)

On-site

USD 144,000 - 204,000

Full time

8 days ago
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Job summary

Meta seeks an experienced Production Platform Engineer to own compute, storage, and GPU platforms in our data centers. You will lead end-to-end lifecycle from new hardware introductions through decommissioning, diagnose systemic issues, and collaborate with hardware, software, and operations teams to improve fleet reliability.

You will base decisions on data, travel up to 30%, and mentor teammates. Minimum 7+ years in server hardware and experience in large-scale data center environments, with

Qualifications

  • 7+ years of server hardware experience in internet operations or hardware design/test validation.
  • Experience triaging and debugging server platforms.
  • Familiarity with Linux/Unix operating systems.
  • Experience with NPI server platform development.
  • Strong documentation and mentoring abilities.

Responsibilities

  • Serve as subject matter expert for compute, storage, and GPU platforms in Meta's production data centers.
  • Owner end-to-end lifecycle of hardware platforms from deployment to decommissioning.
  • Drive investigations across Hardware, Software/Firmware, Networking and Power & Cooling.
  • Collaborate with HW Engineering, Release-to-Production, and Systems Integration teams.
  • Provide proactive alerts and fixes to operations teams; build feedback to engineering.

Skills

Server hardware
Linux/Unix
Data center operations
NPI development
Hardware debugging
Data analysis
Cross-functional collaboration

Education

Electrical engineering
Mechanical engineering
Computer engineering

Tools

Bash
Python
Perl
PHP

Job description

Meta seeks an experienced Production Platform Engineer to own compute, storage, and GPU platforms in our data centers. You will lead end-to-end lifecycle from new hardware introductions through decommissioning, diagnose systemic issues, and collaborate with hardware, software, and operations teams to improve fleet reliability.

You will base decisions on data, travel up to 30%, and mentor teammates. Minimum 7+ years in server hardware and experience in large-scale data center environments, with

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