Performance & Capacity Engineer

MetaBellevue, WA

About The Position

Meta is seeking a Performance & Capacity Engineer to join the Capacity Planning and Optimization Engineering (CPOE) team. This role focuses on site-wide performance and capacity optimization across all Meta products, services, and physical infrastructure (Servers, Data Centers, Network). The position involves creating and optimizing capacity plans to balance capacity, power, and cost in an environment of continual product introduction, managing billions in investment annually. This is achieved through building software and mathematical optimization models, not manual planning. The role offers a unique position to optimize capacity plans and manage exceptions to drive company-level infrastructure decisions. It requires collaboration with various engineering and business teams, with the opportunity to work with diverse groups to power Meta's rapid growth. The role ensures optimal operation of infrastructure from both a cost and technology perspective, supporting millions of servers, Gigawatts of data center capacity, and emerging technologies like AI and the Metaverse.

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years of experience in performance or software engineering and/or optimization pertinent data science or equivalent practical experience
  • 8+ years of experience in designing and implementing models and optimization algorithms
  • 4+ years of experience in coding/scripting languages such as Python, R, Java, C, C++, PHP
  • Experience working with distributed systems at scale
  • Experience in infrastructure operations and technical infrastructure knowledge
  • Experience working with cross-functional teams
  • Experience optimizing complex systems, working with large datasets, and driving business impact
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience in multi-phase/multi-year system/software roadmap development
  • Experience in public or private cloud capacity planning and optimization

Responsibilities

  • Own infrastructure capacity planning for Meta: including Servers, Data Centers, Network Design
  • Implement and launch software systems to improve capacity planning efficiency and quality, partnering with software engineers
  • Contribute to end-to-end capacity planning processes, methodologies, and data to deliver executable and optimized plans
  • Manage and resolve critical escalations and exceptions in all areas of the capacity planning
  • Build mathematical models to perform simulation and optimization studies of demand and supply projections, scenario planning, and feasibility analysis while balancing various constraints
  • Work cross-functionally to define problem statements, collect data, build analytical models and make recommendations to drive change and optimization to inform company-level infrastructure decisions
  • Partner across Infra: such as platform teams, operations, networking planning, data center planning as well as Product and Finance teams to find the most optimal ways to scale our Infrastructure
  • Effectively navigate complex tradeoffs and relationships to balance solving for team, cross-functional partner / stakeholders, and Meta company priorities
  • Balance the need to “keep things running” with longer-term, high-impact projects
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