AI Capacity Planning Engineer

Job Description

Meta is looking for a Performance and Capacity Engineer to join their Capacity team, focusing on AI strategy and planning projects. The role involves optimizing AI computing resources and collaborating with various teams to ensure efficient operations and growth.

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, data engineering 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

Responsibilities

Own AI infrastructure capacity planning for Meta: including Servers, Data Centers, Network
Design, implement and launch software systems to improve AI capacity planning efficiency and quality, partnering with software engineers
Contribute to end to end AI capacity planning processes, methodologies, and data to deliver executable and optimized plans
Manage and resolve critical escalations and exceptions in all areas of AI capacity planning
Build mathematical models to perform simulation and optimization studies of AI 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 AI Infrastructure
Effectively navigate complex tradeoffs and relationships to balance solving for team, cross-functional partner / stakeholders, and Meta company priorities

Benefits

Employees at Meta are often offered comprehensive benefits, including medical/dental/vision coverage, mental-health resources, family planning support (fertility, adoption, surrogacy), and caregiving programs. Financial benefits typically include a competitive retirement plan, equity awards, life insurance, and access to financial coaching and legal support. Time-off benefits commonly feature generous PTO and holidays, unlimited sick time, various paid leaves, flexible “Global Travel Days,” and a 30-day paid break every five years.

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