AI-Driven Performance & Capacity Optimization Engineer

Meta; Menlo Park (CA); Presencial; USD 180.000 - 260.000; Jornada completa

Descripción de la vacante

Meta is seeking a Performance & Capacity Engineer to join the Capacity Planning and Optimization Engineering team to optimize site-wide performance across all Meta products and data centers. You will design and implement models and software that balance capacity, power and cost, handling large-scale infrastructure.

You’ll collaborate with many engineering and business teams to influence billions in investments and drive measurable improvements through scalable optimization and AI-enabled

Formación

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.
• 8+ years of experience in performance, software engineering, or optimization.
• Experience designing and implementing optimization models.
• Proficiency in Python, R, Java, C, or C++; strong scripting.

Conocimientos

Performance engineering

Capacity planning

Optimization modeling

Python

R

Java

C

C++

Xpress

Gurobi

Distributed systems

AI tooling

Cross-functional collaboration

Educación

Bachelor's degree in Computer Science or related field

Herramientas

Xpress

Gurobi

Distributed systems tooling

Descripción del empleo

Meta is seeking a Performance & Capacity Engineer to join the Capacity Planning and Optimization Engineering team to optimize site-wide performance across all Meta products and data centers. You will design and implement models and software that balance capacity, power and cost, handling large-scale infrastructure.

You’ll collaborate with many engineering and business teams to influence billions in investments and drive measurable improvements through scalable optimization and AI-enabled