AI Capacity Planning Engineer
Job in
Seattle, King County, Washington, 98127, USA
Listing for:
Meta
Full Time
position
Listed on 2026-02-16
Job specializations:
-
IT/Tech
Data Engineer, AI Engineer
-
Engineering
Data Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 184000 - 257000 USD Yearly
USD
184000.00
257000.00
YEAR
Job Description & How to Apply Below
Summary
Meta is seeking a Performance and Capacity Engineer to join the Capacity team to focus on AI strategy and planning projects. This person would be required to work cross-functionally with a number of teams to ensure optimal operation and growth of our AI computing resources from both a cost and technology perspective. Tens of billions of user requests, hundreds of peta bytes of data, thousands of giga bps of network flow.
Help build one of the largest AI training and inference services in the world!
Required Skills
AI Capacity Planning Engineer Responsibilities:
Own AI infrastructure capacity planning for Meta: including Servers, Data Centers, NetworkDesign, implement and launch software systems to improve AI capacity planning efficiency and quality, partnering with software engineersContribute to end to end AI capacity planning processes, methodologies, and data to deliver executable and optimized plansManage and resolve critical escalations and exceptions in all areas of AI capacity planningBuild mathematical models to perform simulation and optimization studies of AI demand and supply projections, scenario planning, and feasibility analysis while balancing various constraintsWork cross-functionally to define problem statements, collect data, build analytical models and make recommendations to drive change and optimization at the most strategic levelsPartner 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 InfrastructureEffectively 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 projectsMinimum Qualifications
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, data engineering 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++, PHPExperience working with distributed systems at scaleExperience in infrastructure operations and technical infrastructure knowledgeExperience working with cross-functional teamsExperience optimizing complex systems, working with large datasets, and driving business impactPreferred Qualifications
MS or PhD degree in Computer Science, Electrical Engineering, Operations Research or other technical fieldExperience working with large scale AI/ML systems (GPU based)Direct experience in capacity planning for a major private or public cloudPractical experience and demonstrated success in performance or capacity engineeringPublic Compensation
$184,000/year to $257,000/year + bonus + equity + benefits
Industry
Internet
Equal Opportunity
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
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