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

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
• 4+ 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

Qualifications

• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Benefits

Meta offers a competitive compensation package including base hourly rate, monthly rate, or annual salary, bonus, equity, and benefits. Individual compensation is determined by skills, qualifications, experience, and location.