Performance and Capacity Engineer, Modeling & Optimization

Meta is seeking an AI and Infrastructure Investment Optimization Engineer to join a newly formed team in the Finance organization that works very closely with Product, AI and Infrastructure teams across the company. These teams are building some of the most cutting edge and transformative AI products in the world that are being rolled out to Meta’s 3 Billion users. Building these products and features requires tens of billions of dollars of capital each year over a sustained period of time. Managing and optimizing the deployment of this vast capital and the allocation of these resources requires a team that has technical expertise in AI and Infrastructure along with solid understanding of data science, finance and operations. At Meta, we are building this team in recognition of the importance of AI and Infrastructure from a product perspective as well as the need to be efficient in how we go about deploying capital and generating returns for our shareholders. This role is expected to leverage capacity / engineering subject matter expertise in AI and Infrastructure (incl. software services, server hardware, supply chain, networking and data centers) to build models & tools, conduct analyses and develop POVs on capital allocation decisions on Infrastructure as well as allocation of infrastructure resources to products and platforms.This is unique role in the industry which will require one to understand technical aspects of how AI and Infrastructure are built, operated and used to serve users and work cross-functionally with product managers, engineers, data scientists, finance, business and operations professionals on solving some of the most important technological problems of our times and also ensure that company makes efficient investments.

Performance and Capacity Engineer, Modeling & Optimization Responsibilities:

• Build and maintain end-to-end models for long range planning and strategic decisions
• Build tooling and models to compute and explain Infrastructure OPEX and CAPEX costs at the company, product and resource levels
• Leverage understanding of AI and Infrastructure to develop independent point-of-view on ROI of investments in Infrastructure and allocation of Infrastructure resources to various products and software platforms
• Leverage engineering and operations expertise to help Meta maintain optimal flexible capacity across the end-to-end spectrum of Infrastructure
• Help define resource allocation policies that are reasonable and actionable from a technical, operational and financial perspective
• Work with product, engineering and data science teams to do technical, operational and business impact assessments of re-allocation of resources based on changing business needs, competitive landscape and product roadmaps
• Maintain lineage of decisions around Infrastructure investments and assumptions under which those decisions were made to drive accountability for outcomes across the company
• Build automated tools, scripts, data pipelines and models that helps make, communicate and track decisions efficiently in a scalable fashion
• Partner and collaborate effectively with product managers, engineers, data scientists, finance, business and operations professionals
  
  

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 12 years of experience in performance or software engineering
• Proficient in any programming language (C , Python, etc.) and designing software systems and tools
• Experience working in an engineering role at a large-scale cloud provider or a large customer of a public cloud company
• Experience partnering well cross-functionally with a wide range of teams, deal with ambiguity and present technical content in an easy to understand manner to technical and non-technical teams
  
  

Preferred Qualifications:

• Masters or Ph.D. in a technical field such as Computer Science, Computer Engineering, Electrical Engineering, Operations Research, Data Science, etc.
• Practical experience in an engineering function responsible for resource planning, allocation and / or management at a hyperscaler / public cloud and / or a large customer of public cloud
• Experience working in an engineering role at a large-scale cloud provider or a large customer of a public cloud company
• Curiosity about the inter-relationship between business outcomes and technology investments and experience translating this curiosity to practical models for decision making
  
  

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@fb.com.

$213,000/year to $293,000/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.