Performance & Capacity Engineer - Capacity Planning Optimization (PhD)

Performance & Capacity Engineer - Capacity Planning Optimization (PhD)
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Meta is seeking a Performance & Capacity Engineer (Optimization) to join the Capacity Engineering & Analysis team to focus on site-wide performance and capacity optimization at the intersection of all Meta products and services, and all physical infrastructure (Servers, Data Centers, Network). This role will focus on creating and optimizing global and regional capacity plans at various altitudes to balance service, infrastructure, and business constraints by using Operations Research skills to build and improve mathematical optimization models and solvers. This role is uniquely positioned to optimize these capacity plans at the most strategic levels with company level impact. This is one of the most cross functional roles at the company, with the opportunity to work with a variety of engineering and business teams to power the rapid growth of Meta’s products. This engineer will help to ensure optimal operation of our infrastructure resources from both a cost and technology perspective, facilitating tens of billions of user requests, tens of exabytes of data, terabits/s of network flow. Help build one of the largest fleet and internet services in the world! This position is full-time.
Performance & Capacity Engineer - Capacity Planning Optimization (PhD) Responsibilities
  • Own infrastructure capacity planning for all of Meta: all software products/services and plans for how to scale server and data center resources most efficiently.
  • Build automated, scalable, and rigorous solutions to large-scale web, mobile and data infrastructure problems by developing state-of-the-art mathematical optimization and other automation
  • Partner across the engineering technical landscape to optimize at the intersection of hardware, infrastructure, and software. Work closely with software service owners, Production Engineering, Server Hardware Engineering, Server Supply Chain, Network Engineering, Data Center Design, Operations, and Planning teams to find the most optimal ways to scale our infrastructure and place our services.
  • Partner with Finance to balance cost efficiency with technical and product considerations.
  • 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.
  • A lot of other cool work: Identify capacity-related issues proactively and work across technical and business teams to define and implement solutions.
Minimum Qualifications
  • Currently has, or is in the process of obtaining a PhD degree in Operations Research, Computer Science, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
  • Proficient in Python, C++, or other coding languages
  • Experience managing ambiguity, intellectual curiosity and desire to learn about infrastructure capacity planning and optimization
  • Experience managing ambiguity, intellectual curiosity and desire to learn about infrastructure capacity planning and optimization
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
  • Proven knowledge and experience with building mathematical optimization models and solvers
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications
  • Experience and demonstrated success in working with technical infrastructure (servers, data centers, networks)
  • Experience working with distributed systems at scale
  • Experience with planning and analytics
  • Experience in cost optimization, cost management, or other business/strategy related activities
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences
  • Experience working and communicating cross functionally in a team environment
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 committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to
$115,900/year to $168,000/year + bonus + equity + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta's Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, 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. You may view Meta's Notice Regarding Automated Employment Decision Tools here.

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