AI-Driven Capacity Planning Lead

Meta

Menlo Park, Seattle, Boston, New York (CA, WA, MA, NY)

Sur place

USD 180 000 - 240 000

Plein temps

14 jours+

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Résumé du poste

Meta is seeking a Performance and Capacity Engineer to drive infrastructure efficiency across Meta's data centers, servers, and networks. You will lead pricing and capacity planning processes for virtual and physical resources and ensure scalable, reliable infrastructure for Facebook, Instagram, WhatsApp, and AI workloads.

The role sits at the intersection of software performance, hardware utilization, and long-range capacity planning, with executive interaction and strategic initiatives across

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, or related field.
  • 16+ years of infra/cloud/hardware experience.
  • Experience leading enterprise planning with executive interaction.
  • Ability to distill data into actionable insights for executive decisions.
  • Experience applying business and financial analysis to hypotheses.
  • Identify and frame complex infra problems and develop actionable strategies.
  • Experience in multiple cloud, infrastructure, or hardware optimization projects.
  • Designing new infrastructure planning processes at hyperscale providers.
  • Ability to integrate AI tools to optimize workflows and drive impact.
  • Ongoing AI skill development and staying current with emerging AI tech.
  • Experience adhering to responsible AI practices.

Connaissances

Infrastructure planning
Capacity planning
Executive communication
Data analysis
Business analysis
AI integration
AI tools
AI technologies
Hyperscale experience
Ethical AI

Formation

Bachelor's degree in Computer Science

Description du poste

Meta is seeking a Performance and Capacity Engineer to drive infrastructure efficiency across Meta's data centers, servers, and networks. You will lead pricing and capacity planning processes for virtual and physical resources and ensure scalable, reliable infrastructure for Facebook, Instagram, WhatsApp, and AI workloads.

The role sits at the intersection of software performance, hardware utilization, and long-range capacity planning, with executive interaction and strategic initiatives across

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