Meta
Performance & Capacity Engineering - Capacity Planning Optimization
$184K–$257K
Bellevue, WA +3 · Full-time · Posted Jun 10, 2026
- Location
- Bellevue, WA
Menlo Park, CA
Boston, MA
New York, NY - Experience
- 8+ years in performance or software engineering and/or pertinent optimization data science; 8+ years designing and implementing models and optimization algorithms; 4+ years coding/scripting; 4+ years with LP solvers.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
About the job
Optimizes Meta’s infrastructure capacity plans across servers, data centers, and network by building software and mathematical models that balance demand, capacity, power, cost, and operational constraints.
What you'll do
- Own capacity planning for servers, data centers, and network; improve planning processes and deliver executable plans.
- Design and launch planning software and linear programming models for optimization, simulation, scenario planning, and feasibility analysis.
- Resolve capacity escalations and work across infrastructure, product, and finance teams to recommend strategic improvements.
What they ask for
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- 8+ years of experience in performance or software engineering and/or pertinent optimization data science, and 8+ years designing and implementing models and optimization algorithms.
- 4+ years coding or scripting with Python, R, Java, C, C++, or PHP; 4+ years using LP solvers such as Xpress or Gurobi.
- Experience with distributed systems at scale, infrastructure operations, complex systems and large datasets, cross-functional teams, and responsible AI practices.
Pay
$184,000/year to $257,000/year (base salary)
Tools
Python, R, Java, C, C++, PHP, Xpress, Gurobi
AI focus
Integrate AI tools to optimize or redesign workflows and achieve measurable impact; apply responsible and ethical AI practices, and continue developing AI skills such as prompt/context engineering and agent orchestration.
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