AI Capacity Planning Engineer
Role summary
Meta is seeking a Performance and Capacity Engineer to focus on AI strategy and planning for AI computing resources. This role involves cross-functional collaboration to ensure optimal operation and growth of AI infrastructure, managing servers, data centers, and networks. Responsibilities include designing and implementing software systems for capacity planning efficiency, developing mathematical models for demand/supply projections and scenario analysis, and working with various teams to scale AI infrastructure. The position requires a Bachelor's degree in a technical field or equivalent experience, with 8+ years in performance/software engineering or optimization, 8+ years in model design, and 4+ years in coding languages like Python or Java. Experience with distributed systems and infrastructure operations is essential.
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!
AI Capacity Planning Engineer 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. Balance the need to “keep things running” with longer-term, high-impact projects
Minimum Qualifications:
- 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
Preferred Qualifications:
- MS or PhD degree in Computer Science, Electrical Engineering, Operations Research or other technical field
- Experience working with large scale AI/ML systems (GPU based)
- Direct experience in capacity planning for a major private or public cloud
- Practical experience and demonstrated success in performance or capacity engineering
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 WhatsApp 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 technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
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 accommodations-ext@meta.com.
$184,000/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.