About this opportunity
Meta lists this Performance & Capacity Engineer opportunity in boston, Massachusetts. Review the employer’s description below for duties, qualifications and application requirements.
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
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Worksite address
boston, MA, 02298, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.