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Capacity Engineering - Capacity Planning Optimization

Job in Menlo Park, San Mateo County, California, 94029, USA
Listing for: Meta
Full Time position
Listed on 2026-06-21
Job specializations:
  • IT/Tech
    Systems Engineer, AI Engineer (Applied/Software), Data Engineering, Data Analyst
  • Engineering
    Systems Engineer, AI Engineer (Applied/Software), Data Engineering
Salary/Wage Range or Industry Benchmark: 184000 - 257000 USD Yearly USD 184000.00 257000.00 YEAR
Job Description & How to Apply Below
Position: Performance & Capacity Engineering - Capacity Planning Optimization
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 at the most strategic levels with company level impact. This is one of the most cross functional roles at the company, 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 cutting edge technology including AI, Metaverse, etc. Help build one of the largest fleets, powering one of the largest internet services in the world!

Performance & Capacity Engineering - Capacity Planning 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 linear programming 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 at the most strategic levels

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

Minimum Qualifications:

8+ years of experience in performance or software engineering and/or optimization pertinent data science or equivalent practical experience8+ years of experience in designing and implementing models and optimization algorithms4+ years of experience in coding/scripting languages such as Python, R, Java, C, C++, PHP4+ years of experience with LP solvers such as Xpress or Gurobi 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

Preferred Qualifications:

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social…
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