Performance & Capacity Engineer

Meta; Bellevue, Menlo Park, Boston, New York (WA, CA, MA, NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Meta is seeking a Performance & Capacity Engineer to join the Capacity Planning and Optimization Engineering (CPOE) team in Bellevue, WA. The role focuses on site-wide performance and capacity optimization across Meta products and data-center infrastructure.

You will design optimization models, collaborate with cross-functional teams, and scale capacity plans to balance cost and performance as Meta grows. This includes working with AI-driven tools and ensuring responsible AI practices across

Qualifications

• 8+ years in performance or software engineering and optimization data science or equivalent practical experience.
• 8+ years in designing and implementing models and optimization algorithms.
• 4+ years coding/scripting in Python, R, Java, C, C++, PHP.
• Experience with distributed systems at scale.
• Infrastructure operations knowledge.
• Cross-functional collaboration experience.
• Ability to optimize complex systems with large datasets and drive business impact.
• Adherence to responsible, ethical AI practices.
• Ability to integrate AI tools to optimize workflows and drive measurable impact.
• Experience in multi-phase/multi-year system/software roadmap development.
• Experience in cloud capacity planning and optimization.

Responsibilities

• Design and implement capacity plans across Meta's infrastructure.
• Collaborate with cross-functional teams to optimize performance at scale.
• Develop models and optimization algorithms to balance capacity, power, and cost.
• Scale capacity planning and manage exceptions for company-wide infrastructure decisions.

Skills

Performance optimization

Optimization algorithms

Python

R

Java

C

C++

PHP

Distributed systems

Infrastructure operations

Cross-functional collaboration

Large data / analytics

AI skills development

Responsible AI

AI tool integration

Roadmap planning

Cloud capacity planning

Education

Bachelor's degree in Computer Science / Computer Engineering or equivalent practical experience

Job description

Meta is seeking a Performance & Capacity Engineer to join the Capacity Planning and Optimization Engineering (CPOE) team to focus on site-wide performance and capacity optimization at the intersection of all Meta products and services, and all physical infrastructure (Servers, Data Centers, Network). This role will focus on creating and optimizing capacity plans at various altitudes to balance capacity, power, and cost, in an environment of continual product introduction, directly managing billions of investment annually. We do this primarily by building software and mathematical optimization models, not manual planning. This role will be uniquely positioned to optimize these capacity plans and scalably manage exceptions to drive company-level infrastructure decisions. This role requires collaboration across many engineering and business teams, with the opportunity to work with a variety of engineering and business teams to power the rapid growth of Meta’s products. This role will help to ensure optimal operation of our infrastructure from both a cost and technology perspective, with millions of servers, Gigawatts of data center capacity, and current and emerging technology including AI, Metaverse, etc. Help build and scale Meta's global infrastructure fleet!

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience8+ 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
• 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)
• 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)
• 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