Performance and Capacity Engineer, Modeling & Optimization

Join Meta as a Performance and Capacity Engineer, Modeling & Optimization.

This role involves building models, conducting analyses, and developing POVs on capital allocation decisions related to AI and Infrastructure at Meta, supporting the company's cutting-edge AI products used by over 3 billion users.

Responsibilities include:

• Building and maintaining models for long-term planning and strategic decisions.
• Developing tools to compute and explain Infrastructure costs at various levels.
• Formulating independent views on ROI of infrastructure investments and resource allocation.
• Collaborating across teams to assess impacts of resource reallocation.
• Maintaining decision lineage to ensure accountability.
• Creating automated tools, scripts, data pipelines, and models for decision-making.

Minimum Qualifications:

• Bachelor's degree in a technical field or equivalent experience.
• 12+ years in performance or software engineering.
• Proficiency in programming languages like C++ or Python.
• Experience in large-scale cloud environments.
• Strong cross-functional collaboration skills.

Preferred Qualifications:

• Masters or Ph.D. in a relevant technical field.
• Experience in resource planning at hyperscalers or large cloud customers.
• Interest in technology-business interrelations and decision models.

Meta offers a competitive salary range of $213,000 to $293,000 per year, plus bonus, equity, and benefits. The role is full-time, based in a location with the necessary legal compliance and accommodations.

Meta is an Equal Opportunity Employer committed to diversity and inclusion in the workplace.

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